Sample records for techlines blog speeches

  1. News & Blog | Department of Energy

    Office of Environmental Management (EM)

    and Contractors News & Blog Blog Archive News Archive Media Advisories Speeches Photos Videos Maps Data Phonebook Web Policies History Photo and Video Galleries Ford Precision...

  2. Q&A Blog

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Q&A Blog Participate with us Participate Become a Volunteer Share Your Stories Museum Fan Downloads Q&A Blog Contact us invisible utility element Q&A Blog Favorite museum Q&A...

  3. FE Blog

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 FederalTexasManager FAQS Reference Guide - AviationEnergyEnclosure (1)blog

  4. Energy Blog | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Energy Blog Energy Blog RSS July 11, 2013 Climate Change: Effects on Our Energy A new report shows how a changing climate has impacted and may continue to affect our energy...

  5. Energy Blog | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Blog Energy Blog RSS November 20, 2013 Electrical transmission lines cross a snow-covered field in Dallas Dam, Oregon. | Photo courtesy of the Energy Department Flickr page. The...

  6. Up from the Ground: Blogging the Farm and Farming the Blog

    E-Print Network [OSTI]

    Humphrey, Jen L.

    2010-04-22T23:59:59.000Z

    Up from the Ground: Blogging the Farm and Farming the Blog was written in the form of blog posts from May 2009 until March 2010. The blog chronicled successes and failures in the transition from city life to organic ...

  7. DOE TechLine

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof"WaveInteractions andDefinitionEnergy Implement the

  8. Energy Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13,Statement | DepartmentBlog Energy Blog RSS January 29,Energy Blog

  9. What is a blog? The word "blog," a contraction of "web log," is an informational web

    E-Print Network [OSTI]

    Zhou, Pei

    What is a blog? The word "blog," a contraction of "web log," is an informational web page's log, blogs on the web tend to maintain an ordered chronology, although they often unfold in reverse

  10. OE Recovery Act Blog

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEWResponse to Time-BasedDecember 23, 2014Department of Energyblog

  11. ARM - Blog Article

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (SeeCenterARM Mobile Facility 1ARMOctober 1, 2013 [Blog,

  12. Energy Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13,Statement | DepartmentBlog Energy Blog RSS January 29, 2015 SolarBlog

  13. Energy Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13,Statement | DepartmentBlog Energy Blog RSS January 29, 2015 Solar

  14. Energy Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13,Statement | DepartmentBlog Energy Blog RSS January 29, 2015

  15. Energy Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13,Statement | DepartmentBlog Energy Blog RSS January 29, 2015Energy

  16. Energy Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13,Statement | DepartmentBlog Energy Blog RSS January 29,

  17. LPO Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil & Gas » MethaneJohnsonKristina PflanzLM NewsBlog LPO Blog RSS

  18. Blog Distillation via Sentiment-Sensitive Link Analysis

    E-Print Network [OSTI]

    Sebastiani, Fabrizio

    Blog Distillation via Sentiment-Sensitive Link Analysis Giacomo Berardi, Andrea Esuli, Fabrizio blog distillation by adding a link analysis phase to the standard retrieval-by-topicality phase, where in blog distillation. 1 Introduction Blog distillation is a subtask of blog search. It is defined

  19. Blog Distillation via Sentiment-Sensitive Link Analysis

    E-Print Network [OSTI]

    Sebastiani, Fabrizio

    Blog Distillation via Sentiment-Sensitive Link Analysis Giacomo Berardi, Andrea Esuli, Fabrizio report a new approach to blog distillation, defined as the task in which, given a user query, the system of the TREC Blog Track. 1 Introduction Blog distillation is a subtask of the blog search task. It is defined

  20. Blog Feed: Vehicles | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartmentWindConversionResults inBiopowerJanuaryBlogBlogBlog

  1. Blog Feed: Vehicles | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartmentWindConversionResults inBiopowerJanuaryBlogBlogBlogBlog

  2. Blog Archive | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartmentWindConversionResults inBiopower BasicsBioproductsBlog

  3. FE Press Releases and Techlines

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 FederalTexasManager FAQS Reference Guide -September 30,Clean

  4. Speech coding

    SciTech Connect (OSTI)

    Ravishankar, C., Hughes Network Systems, Germantown, MD

    1998-05-08T23:59:59.000Z

    Speech is the predominant means of communication between human beings and since the invention of the telephone by Alexander Graham Bell in 1876, speech services have remained to be the core service in almost all telecommunication systems. Original analog methods of telephony had the disadvantage of speech signal getting corrupted by noise, cross-talk and distortion Long haul transmissions which use repeaters to compensate for the loss in signal strength on transmission links also increase the associated noise and distortion. On the other hand digital transmission is relatively immune to noise, cross-talk and distortion primarily because of the capability to faithfully regenerate digital signal at each repeater purely based on a binary decision. Hence end-to-end performance of the digital link essentially becomes independent of the length and operating frequency bands of the link Hence from a transmission point of view digital transmission has been the preferred approach due to its higher immunity to noise. The need to carry digital speech became extremely important from a service provision point of view as well. Modem requirements have introduced the need for robust, flexible and secure services that can carry a multitude of signal types (such as voice, data and video) without a fundamental change in infrastructure. Such a requirement could not have been easily met without the advent of digital transmission systems, thereby requiring speech to be coded digitally. The term Speech Coding is often referred to techniques that represent or code speech signals either directly as a waveform or as a set of parameters by analyzing the speech signal. In either case, the codes are transmitted to the distant end where speech is reconstructed or synthesized using the received set of codes. A more generic term that is applicable to these techniques that is often interchangeably used with speech coding is the term voice coding. This term is more generic in the sense that the coding techniques are equally applicable to any voice signal whether or not it carries any intelligible information, as the term speech implies. Other terms that are commonly used are speech compression and voice compression since the fundamental idea behind speech coding is to reduce (compress) the transmission rate (or equivalently the bandwidth) And/or reduce storage requirements In this document the terms speech and voice shall be used interchangeably.

  5. Blog Archive | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sure you want toworldPower 2010 1AAcquisition » BalancedBest of 2014:Blog

  6. Blog Promotion | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORT Americium/CuriumAguaBBBWind- Geradora de EnergiaBlog

  7. Solar Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative JC3 RSS September 9,AwardGradsSites Pending Transfer toSocial MediaSoilSolarSolar Blog

  8. Plowing Speech

    E-Print Network [OSTI]

    Zla ba sgrol ma

    2009-11-10T23:59:59.000Z

    plowing speech and a discussion about the speech. Genre or type (i.e. epic, song, ritual) Plowing speech Name of recorder (if different from collector) Zla ba sgrol ma Date of recording November 10th 2009. Place of recording Ci jo Village, Phu... ma Township, Sde dge County, Dkar mdzes Tibetan Autonomous Prefecture, Sichuan Province, China. Name(s), age, sex, place of birth of performer(s) Bo nyed. Female. Born 1954. Ci jo Village, Phu ma Township, Sde dge County, Dkar mdzes Tibetan...

  9. Speech production knowledge in automatic speech recognition

    E-Print Network [OSTI]

    King, Simon; Frankel, Joe; Livescu, Karen; McDermott, Erik; Richmond, Korin; Wester, Mirjam

    2007-01-01T23:59:59.000Z

    Although much is known about how speech is produced, and research into speech production has resulted in measured articulatory data, feature systems of different kinds and numerous models, speech production knowledge is almost totally ignored...

  10. ROBUST SPEECH RECOGNITION BY INTEGRATING SPEECH SEPARATION AND HYPOTHESIS TESTING

    E-Print Network [OSTI]

    Wang, DeLiang "Leon"

    on recognition, noisy speech is typically preprocessed by speech enhancement algorithms, such as spectral- tral subtraction for speech enhancement followed by recognition of enhanced speech [4]. The missingROBUST SPEECH RECOGNITION BY INTEGRATING SPEECH SEPARATION AND HYPOTHESIS TESTING Soundararajan

  11. Blog Feed: Vehicles | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartmentWindConversionResults inBiopowerJanuaryBlogBlog Feed:

  12. Blog Feed: Vehicles | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartmentWindConversionResults inBiopowerJanuaryBlogBlog

  13. Indian Energy Blog Archive | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovemberInvestigationsCommitteeBlog Archive Indian Energy Blog Archive RSS July

  14. blog

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    franklinupdates-and-statusannouncements-3 Franklin was Retired on April 30, 2012 http:www.nersc.govuserscomputational-systemsretired-systemsfranklinupdates-and-status...

  15. blog

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    on 1400, and logins to PDSF may be slow throughout the maintenance window. Additional non-intrusive maintenance will also be performed elsewhere on PDSF.

     Wed, 22 Feb...

  16. blog

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Move data from projectbprojectdirs http:www.nersc.govuserscomputational-systemsgenepoolupdates-and-statusgenepool-featured-announcementsmove-data-from-projectb-p...

  17. blog

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires mayYuan T. Lee's www.rsc.org/loc Volume 8 |

  18. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm): An IntegratedEffectsIntegrationbklopen-issues/

  19. blog

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  20. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm): Angenepool-featured-announcements/ Move data

  1. blog

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  2. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm): Angenepool-featured-announcements/

  3. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm): Angenepool-featured-announcements/open-issues/

  4. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm):

  5. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm):announcements/ PGI version 11.3 available on

  6. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm):announcements/ PGI version 11.3 available

  7. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm):announcements/ PGI version 11.3

  8. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm):announcements/ PGI version

  9. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm):announcements/ PGI

  10. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm):announcements/ PGIgnu/gnu-bug-reports/ There

  11. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm):announcements/ PGIgnu/gnu-bug-reports/

  12. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing Coal(tm):announcements/

  13. blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing

  14. Collaboratory blogging: Many minds are better than one

    E-Print Network [OSTI]

    Neam, Kelsey; Wood, Margot

    2014-10-07T23:59:59.000Z

    , and for promoting new idea transfer and encouraging interdisciplin- ary exchange. Multi-author blogging brings together Other Collaboratory Conservation Blogs Stirling Conservation Science, Stirling University Applied Conservation Lab, University of Victoria Cool...

  15. SPEECH ENHANCEMENT FOR NOISE-ROBUST SPEECH RECOGNITION

    E-Print Network [OSTI]

    Shapiro, Benjamin

    SPEECH ENHANCEMENT FOR NOISE-ROBUST SPEECH RECOGNITION Vikramjit Mitra and Carol Y. Espy-Wilson Speech Communication Lab SCL Introduction Propose an adaptive speech enhancement technique. Detects SNR-robust Speech Recognition Speech Enhancement Noise robust automated transcription Corpus `Speech in Speech

  16. Hanford Blog Archive - Hanford Site

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasReleaseSpeechesHallNot Logged In You| BlandineGulfHAB and

  17. Blog Feed: Vehicles | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartmentWindConversionResults inBiopowerJanuaryBlog Feed:Blog

  18. IA Blog Archive | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking of Blythe SolarContaminationCurrentHydronic71 IA Blog Archive en DOE andBlog

  19. Blog posts | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORT Americium/CuriumAguaBBBWind- Geradora de EnergiaBlogBlog

  20. Blogs Are Echo Chambers: Blogs Are Echo Chambers Eric Gilbert, Tony Bergstrom and Karrie Karahalios

    E-Print Network [OSTI]

    Karahalios, Karrie G.

    on a life of their own. One of the blog posts in our sample, a short essay about the press and Barack Obama records shown on 60 Minutes, leading to the resignation of its anchorman Dan Rather. While the prominence

  1. 5/14/10 4:32 PMTechnology Review: Blogs: arXiv blog: First Mathematical Model of Cow Behavior Page 1 of 4http://www.technologyreview.com/blog/arxiv/25171/

    E-Print Network [OSTI]

    Bollt, Erik

    5/14/10 4:32 PMTechnology Review: Blogs: arXiv blog: First Mathematical Model of Cow Behavior Page | auf Deutsch | in Italiano | | in India Home Videos Blogs Briefings Community Magazine Newsletters Events Resources Subscribe Computing Web Communications Energy Materials Biomedicine Business arXiv blog

  2. The Energy Efficiency and Renewable Energy (EERE) blog on Green...

    Open Energy Info (EERE)

    The Energy Efficiency and Renewable Energy (EERE) blog on Green Button is live Home > Groups > Green Button Applications Dc's picture Submitted by Dc(266) Contributor 27 February,...

  3. Blog Feed: Vehicles | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartmentWindConversionResults inBiopowerJanuaryBlog Feed:

  4. Blog Feed: Vehicles | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartmentWindConversionResults inBiopowerJanuaryBlog

  5. Introduction Speech and non-speech exhibit similar spectrally contrastive

    E-Print Network [OSTI]

    Holt, Lori L.

    in 3 noise conditions Perception of coarticulated speech with contrastively enhanced spectrotemporal Conclusions General, non-speech-specific contrast enhancement can benefit recognition of coarticulated speechIntroduction Speech and non-speech exhibit similar spectrally contrastive context effects on speech

  6. ROBUST SPEECH RECOGNITION USING MULTIPLE PRIOR MODELS FOR SPEECH RECONSTRUCTION

    E-Print Network [OSTI]

    Wang, DeLiang "Leon"

    speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling normalization (CMN), while others preprocess noisy speech using speech enhancement techniques. If noise samplesROBUST SPEECH RECOGNITION USING MULTIPLE PRIOR MODELS FOR SPEECH RECONSTRUCTION Arun Narayanan

  7. Credibility Factors in Professional Journalists' Versus User-Created Blogs

    E-Print Network [OSTI]

    Drinkwater, Kaitlyn S.

    2010-07-14T23:59:59.000Z

    in this new medium to do a manifest content analysis of blogs. The findings of these factors may be used more in user-generated (a generic term for online content created by regular people) blogs than those maintained by professional journalists. This may...

  8. Retrieval and Feedback Models for Blog Distillation Jonathan Elsas, Jaime Arguello, Jamie Callan, Jaime Carbonell

    E-Print Network [OSTI]

    Carbonell, Jaime

    Retrieval and Feedback Models for Blog Distillation Jonathan Elsas, Jaime Arguello, Jamie Callan and results for the Feed Distillation task in the Blog track at TREC 2007. Our experiments focus on two Wikipedia. 1 Introduction Blog distillation (or "feed search") is the task of finding blog feeds

  9. Endorsements and rebuttals in blog distillation q Giacomo Berardi, Andrea Esuli, Fabrizio Sebastiani

    E-Print Network [OSTI]

    Sebastiani, Fabrizio

    Endorsements and rebuttals in blog distillation q Giacomo Berardi, Andrea Esuli, Fabrizio in revised form 10 May 2013 Accepted 30 May 2013 Available online 14 June 2013 Keywords: Blog distillation to blog distillation, defined as the task in which, given a user query, the system ranks the blogs

  10. Cybersecurity Related Blogs | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAbout » Contact UsDepartment of Energy Cut|Department ofBlogs

  11. DOE Research and Development Accomplishments Blog

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Garyand TechnicalAboutContact Us ContactBlog Date:

  12. NE Blog Archive | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,39732onMake Your NextHow EMMinutes: EMMissionofofProjectBlog Archive

  13. News & Blog | Department of Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy:Nanowire Solar541,9337, 2011RNew VisibleToolAbout Us » NewsBlog

  14. Wzeng's blog | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Projectsource History View New PagesWzeng's blog Home

  15. Sfomail's blog | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form HistoryRistma AG Jump638324°,Schnell ZToolsSupplySevilleSfomail's blog

  16. Cybersecurity Related Blogs | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof"Wave theJuly 30,Crafty Gifts| Department ofDepartmentBlogs

  17. Kwitherbee's blog | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to: navigation, search GEOTHERMALTexas:Kuju Kanko HotelKwitherbee's blog Home

  18. Dc's blog | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE Facility Database DataDatatechnicNew Jersey: Energy ResourcesDc's blog Home

  19. Dbrodt's blog | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision hasda62829c05b No revisionDbrodt's blog Home >

  20. Energy Empowers Blog Ticker | Open Energy Information

    Open Energy Info (EERE)

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  1. .ROBUST SPEECH RECOGNITION USING SINGULAR VALUE DECOMPOSITION BASED SPEECH ENHANCEMENT

    E-Print Network [OSTI]

    .ROBUST SPEECH RECOGNITION USING SINGULAR VALUE DECOMPOSITION BASED SPEECH ENHANCEMENT B. T. Lilly the performance of a speechrecognition system in the presence of noise, is to enhance the speech prior to its is the enhanced speech signal. In the experiments presented in this paper, we use singu- lar value decomposition

  2. MARQUETTE UNIVERSITY Speech Signal Enhancement

    E-Print Network [OSTI]

    Johnson, Michael T.

    MARQUETTE UNIVERSITY Speech Signal Enhancement Using A Microphone Array A THESIS SUBMITTED Reserved #12;iii Preface This thesis describes the design and implementation of a speech enhancement system that uses microphone array beamforming and speech enhancement algorithms applied to a speech signal

  3. Know-Center at TREC 2009 Blog Distillation Task: A Notebook Paper

    E-Print Network [OSTI]

    Hammerton, James

    Know-Center at TREC 2009 Blog Distillation Task: A Notebook Paper Elisabeth Lex, Michael Granitzer,mgrani,ajuffinger}@know-center.at Abstract. This paper outlines our experiments carried out at TREC 2009 Blog Distillation Task. Our system, specifically the blog distillation task, exactly this problem is addressed. The goal of the track is to rank

  4. Free US ETDs: The Archived Postings from the FUSE Blog, 2012-2014

    E-Print Network [OSTI]

    Clement, Gail

    11/18/2014 Aim of the FUSE Blog | Free US ETDs (FUSE) http://sites.tdl.org/fuse/?p=10 1/4 Aim of the FUSE Blog Posted on December 1, 2012 Free US ETDs (FUSE) is a new scholarly communication blog dedicated to a singular cause: advancing free... to graduate research now works at cross- Free US ETDs (FUSE) Promoting Open Access to American graduate research 11/18/2014 Aim of the FUSE Blog | Free US ETDs (FUSE) http://sites.tdl.org/fuse/?p=10 2/4 3 THOUGHTS ON AIM OF THE FUSE BLOG purposes...

  5. DOE Research and Development Accomplishments Blog Archive 2012

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Garyand TechnicalAboutContact Us ContactBlog Date:Blog

  6. Speech processing using maximum likelihood continuity mapping

    DOE Patents [OSTI]

    Hogden, John E. (Santa Fe, NM)

    2000-01-01T23:59:59.000Z

    Speech processing is obtained that, given a probabilistic mapping between static speech sounds and pseudo-articulator positions, allows sequences of speech sounds to be mapped to smooth sequences of pseudo-articulator positions. In addition, a method for learning a probabilistic mapping between static speech sounds and pseudo-articulator position is described. The method for learning the mapping between static speech sounds and pseudo-articulator position uses a set of training data composed only of speech sounds. The said speech processing can be applied to various speech analysis tasks, including speech recognition, speaker recognition, speech coding, speech synthesis, and voice mimicry.

  7. SPEECH DECOMPOSITION AND ENHANCEMENT Sungyub Yoo

    E-Print Network [OSTI]

    Allen, Jont

    SPEECH DECOMPOSITION AND ENHANCEMENT by Sungyub Yoo BS, Soonchunhyang University, 1995 MS enhance speech intelligibility is examined. Computer algorithms to decompose speech into two different enhanced speech. The energy of the enhanced speech was adjusted to be equal to the original speech

  8. Blogonomics : business and social changes from the blog

    E-Print Network [OSTI]

    Guo, Ching Q. (Ching Qing)

    2008-01-01T23:59:59.000Z

    Back in 2003, Blogs as well as wikis started the Web 2.0 frenzy with online community networks and user generated content. Web 2.0 has recently cooled down, but it may have started a new era. The purpose of this paper is ...

  9. Research Blogs as a Tool for Applied Biodiversity Sciences

    E-Print Network [OSTI]

    Petriello, Michael A

    2014-10-07T23:59:59.000Z

    socially-fueled digital world to our perceptions of and actions in our natural environments8,9,10,11. This is important because social media such as Twitter, Facebook, online conservation magazines, and independent research blogs (e.g., Yale...

  10. Speech Enhancement of Noisy Speech Using Log-Spectral Amplitude Estimator and Harmonic Tunneling

    E-Print Network [OSTI]

    Wichmann, Felix

    Speech Enhancement of Noisy Speech Using Log-Spectral Amplitude Estimator and Harmonic Tunneling we present a two stage noise reduction algo- rithm for speech enhancement. The speech noise removal and decreases the performance of speech coding and speech recog- nition systems. In speech enhancement

  11. Speech enhancement and source separation using probabilistic models

    E-Print Network [OSTI]

    Hao, Jiucang

    2008-01-01T23:59:59.000Z

    Speech Enhancement using Gaussian Scale MixtureResults for Speech Enhancement . . . . . . . . .Part I: Speech Enhancement . . . . . . . . . . 1.3.2 Part

  12. SPEECH ENHANCEMENT FOR CROSSTALK INTERFERENCE

    E-Print Network [OSTI]

    SPEECH ENHANCEMENT FOR CROSS­TALK INTERFERENCE by Levent M. Arslan and John H.L. Hansen Robust. Based on this noise esti­ mate, a new speech enhancement technique is proposed. The enhancement method EDICS Code: SPL.SA.1.5 Speech Enhancement submitted Jan. 19, 1996 to IEEE Signal Processing Letters

  13. SPEECH-LANGUAGE-HEARING CLINIC

    E-Print Network [OSTI]

    Veiga, Pedro Manuel Barbosa

    SPEECH-LANGUAGE- HEARING CLINIC AT OSU-TULSA The OSU-Tulsa Speech-Language-Hearing Clinic provides comprehensive services to the Tulsa metropolitan area while offering training opportunities for graduate communication (AAC) OSU-TULSA SPEECH-LANGUAGE-HEARING CLINIC North Hall 391 700 N. Greenwood Avenue Tulsa, OK

  14. Motor Speech Disorders in Neurodevelopmental

    E-Print Network [OSTI]

    Shoubridge, Eric

    4/14/13 1 Motor Speech Disorders in Neurodevelopmental Syndromes Shelley Velleman University many graduate and undergraduate research assistants at UMass, U of Louisville, and UVM 2 Motor Speech difference/insult Symptoms 3 Motor Speech Disorders Dysarthria: neurological bases result of damage

  15. College of Engineering Study Abroad: Germany Blog Welcome to the blog of Stephanie Berger, Sophomore, Biological Systems Engineering major at UNL. She

    E-Print Network [OSTI]

    Farritor, Shane

    College of Engineering Study Abroad: Germany Blog Welcome to the blog of Stephanie Berger internship in Germany through the DAAD/RISE program. Monday, August 3, 2009 Last week was my last week Germany for a little over a week before I head back to the U.S.! Since I got this scholarship through

  16. System and method for characterizing voiced excitations of speech and acoustic signals, removing acoustic noise from speech, and synthesizing speech

    DOE Patents [OSTI]

    Burnett, Greg C. (Livermore, CA); Holzrichter, John F. (Berkeley, CA); Ng, Lawrence C. (Danville, CA)

    2002-01-01T23:59:59.000Z

    Low power EM waves are used to detect motions of vocal tract tissues of the human speech system before, during, and after voiced speech. A voiced excitation function is derived. The excitation function provides speech production information to enhance speech characterization and to enable noise removal from human speech.

  17. Special issue on Speech Enhancement 1. Introduction

    E-Print Network [OSTI]

    Gannot, Sharon

    Editorial Special issue on Speech Enhancement 1. Introduction Speech quality is severely degraded and environment. Speech enhancement algorithms which improve the quality of speech and reduce or eliminate of microphones used to collect the acoustic signal and noise, different speech enhancement algorithms have been

  18. 2/14/14 10:42 AMCoursera Blog The Age of Sustainable Development from Jeff Sachs, Columbia University Page 1 of 3http://blog.coursera.org/post/70466942063/the-age-of-sustainable-development-from-jeff-sachs

    E-Print Network [OSTI]

    2/14/14 10:42 AMCoursera Blog The Age of Sustainable Development from Jeff Sachs, Columbia University Page 1 of 3http://blog.coursera.org/post/70466942063/the-age-of-sustainable-development-from-jeff-sachs About Partners Community Team Careers Press Blog The Age of Sustainable Development from Jeff Sachs

  19. 7/3/08 6:50 AMBuzzword: Radon: Consumer Reports Home & Garden Blog Page 1 of 3http://blogs.consumerreports.org/home/2008/06/radon-counters.html#comments

    E-Print Network [OSTI]

    Llope, William J.

    , Countertops, Surfaces Green/Environmental Issues Heating & Cooling Home Improvement Home Repair & Maintenance7/3/08 6:50 AMBuzzword: Radon: Consumer Reports Home & Garden Blog Page 1 of 3http://blogs.consumerreports.org/home/2008/06/radon-counters.html#comments About this blog Consumer Reports' Home & Garden staff reports

  20. SSML: A speech synthesis markup language.

    E-Print Network [OSTI]

    Taylor, Paul A; Isard, Amy

    1997-01-01T23:59:59.000Z

    This paper describes the Speech Synthesis Markup Language, SSML, which has been designed as a platform independent interface standard for speech synthesis systems. The paper discusses the need for standardisation in speech ...

  1. Robust Speech Recognition Under Noisy Ambient

    E-Print Network [OSTI]

    .................................................................... 142 6.4.1 Speech Enhancement Techniques .......................................................... 143CHAPTER Robust Speech Recognition Under Noisy Ambient Conditions 6Kuldip K. Paliwal School of Microelectronic Engineering, Griffith University, Brisbane, Australia Kaisheng Yao Speech Component Group

  2. An Articulatory Speech-Prosthesis System

    E-Print Network [OSTI]

    Wee, Keng Hoong

    We investigate speech-coding strategies for brain-machine-interface (BMI) based speech prostheses. We present an articulatory speech-synthesis system using an experimental integrated-circuit vocal tract that models the ...

  3. Microsoft Word - What_is_the_Hanford_Blog.doc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA / USACE625Data Show Filtration8, 2011Hanford Blog? The

  4. UNIT SELECTION IN A CONCATENATIVE SPEECH SYNTHESIS SYSTEM USING A LARGE SPEECH DATABASE

    E-Print Network [OSTI]

    Black, Alan W

    UNIT SELECTION IN A CONCATENATIVE SPEECH SYNTHESIS SYSTEM USING A LARGE SPEECH DATABASE Andrew J of natural­sounding syn­ thesized speech waveforms is to select and concatenate units from a large speech by concatenating the waveforms of units selected from large, single­speaker speech databases. The primary

  5. IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Model-Based Speech Enhancement with Improved

    E-Print Network [OSTI]

    So, Hing-Cheung

    IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 1 Model-Based Speech Enhancement-based approach to enhance noisy speech using an analysis-synthesis framework. Target speech is reconstructed. Ini- tially, we propose an analysis-synthesis framework for speech enhancement based on harmonic noise

  6. Exemplar-based speech enhancement and its application to noise-robust automatic speech recognition

    E-Print Network [OSTI]

    Virtanen, Tuomas

    53 Exemplar-based speech enhancement and its application to noise-robust automatic speech-based technique for speech enhance- ment of noisy speech is proposed. The technique works by find- ing a sparse at http://www.cs.tut.fi/ ~tuomasv/. Index Terms: speech enhancement, exemplar-based, noise ro- bustness

  7. Empirical Distributions of DFT-Domain Speech Coefficients Based on Estimated Speech Variances

    E-Print Network [OSTI]

    obtained from a short-time discrete Fourier transform (DFT) in the context of speech enhancement frameworks. The distribution of clean speech spectral coefficients is of great importance for speech enhancement algorithmsEmpirical Distributions of DFT-Domain Speech Coefficients Based on Estimated Speech Variances Timo

  8. Evaluating speech intelligibility enhancement for HMM-based synthetic speech in noise

    E-Print Network [OSTI]

    Edinburgh, University of

    Evaluating speech intelligibility enhancement for HMM-based synthetic speech in noise Cassia It is possible to increase the intelligibility of speech in noise by enhancing the clean speech signal Valentini-Botinhao, Junichi Yamagishi, Simon King The Centre for Speech Technology Research, University

  9. REVERBERANT SPEECH ENHANCEMENT USING CEPSTRAL PROCESSING

    E-Print Network [OSTI]

    Kabal, Peter

    S14.25 REVERBERANT SPEECH ENHANCEMENT USING CEPSTRAL PROCESSING Duncan Bees It, Maier Blostein l The dereverberation of acoustically reverberant speech has p* tentml application to the enhancement of speech which microphone reverberant speech enhancement typically requires prior knowledge of h(n) and subsequent inverse

  10. Language Production General Points about Speech Production

    E-Print Network [OSTI]

    Coulson, Seana

    Language Production #12;General Points about Speech Production 15 speech sounds per second => 2, shall I say `t' or `d'' (Levelt) Production side has gotten less attention in Psycholinguistics than the comprehension side. Evidence for speech production behaviour has until recently relied heavily on speech errors

  11. Alignment of speech and co-speech gesture in a constraint-based grammar

    E-Print Network [OSTI]

    Saint-Amand, Katya; Amand, Katya Saint; Alahverdzhieva, Katya

    2013-07-02T23:59:59.000Z

    This thesis concerns the form-meaning mapping of multimodal communicative actions consisting of speech signals and improvised co-speech gestures, produced spontaneously with the hand. The interaction between speech and ...

  12. Speech recovery device

    DOE Patents [OSTI]

    Frankle, Christen M.

    2004-04-20T23:59:59.000Z

    There is provided an apparatus and method for assisting speech recovery in people with inability to speak due to aphasia, apraxia or another condition with similar effect. A hollow, rigid, thin-walled tube with semi-circular or semi-elliptical cut out shapes at each open end is positioned such that one end mates with the throat/voice box area of the neck of the assistor and the other end mates with the throat/voice box area of the assisted. The speaking person (assistor) makes sounds that produce standing wave vibrations at the same frequency in the vocal cords of the assisted person. Driving the assisted person's vocal cords with the assisted person being able to hear the correct tone enables the assisted person to speak by simply amplifying the vibration of membranes in their throat.

  13. Is Private Speech Really Private?

    E-Print Network [OSTI]

    Smith, Ashley

    2011-01-01T23:59:59.000Z

    This study sought to answer the question is private speech really private? by assessing if participants spoke more to themselves when in the company of the experimenter or when they were alone. The similarity between ...

  14. An improved speech transmission index for intelligibility prediction Belinda Schwerin

    E-Print Network [OSTI]

    transmission index; Modulation transfer function; Speech enhancement; Objective evaluation; Speech intelligibility; Short-time modulation spectrum 1. Introduction The enhancement of speech corrupted by noise hasAn improved speech transmission index for intelligibility prediction Belinda Schwerin , Kuldip

  15. System and method for characterizing voiced excitations of speech and acoustic signals, removing acoustic noise from speech, and synthesizing speech

    DOE Patents [OSTI]

    Burnett, Greg C. (Livermore, CA); Holzrichter, John F. (Berkeley, CA); Ng, Lawrence C. (Danville, CA)

    2006-08-08T23:59:59.000Z

    The present invention is a system and method for characterizing human (or animate) speech voiced excitation functions and acoustic signals, for removing unwanted acoustic noise which often occurs when a speaker uses a microphone in common environments, and for synthesizing personalized or modified human (or other animate) speech upon command from a controller. A low power EM sensor is used to detect the motions of windpipe tissues in the glottal region of the human speech system before, during, and after voiced speech is produced by a user. From these tissue motion measurements, a voiced excitation function can be derived. Further, the excitation function provides speech production information to enhance noise removal from human speech and it enables accurate transfer functions of speech to be obtained. Previously stored excitation and transfer functions can be used for synthesizing personalized or modified human speech. Configurations of EM sensor and acoustic microphone systems are described to enhance noise cancellation and to enable multiple articulator measurements.

  16. INCORPORATING SPECTRAL SUBTRACTION AND NOISE TYPE FOR UNVOICED SPEECH SEGREGATION

    E-Print Network [OSTI]

    Wang, DeLiang "Leon"

    , monaural speech enhancement methods enhance noisy speech based on certain assumptions or models of speech and interference [8]. Speech enhancement methods improve speech quality. However, they have a limited abilityINCORPORATING SPECTRAL SUBTRACTION AND NOISE TYPE FOR UNVOICED SPEECH SEGREGATION Ke Hu and De

  17. Speech enhancement using super-Gaussian speech models and noncausal a priori SNR estimation

    E-Print Network [OSTI]

    Cohen, Israel

    Speech enhancement using super-Gaussian speech models and noncausal a priori SNR estimation Israel that the performance of noncausal estimation, when applied to the problem of speech enhancement, is better under has a smaller effect on the enhanced speech signal when using the noncausal a priori SNR estimator

  18. Use of speech presence uncertainty with MMSE spectral energy estimation for robust automatic speech recognition

    E-Print Network [OSTI]

    .V. All rights reserved. Keywords: Robust speech recognition; MMSE estimation; Speech enhancement methods fall under two categories: front-end speech/feature enhancement and back-end model adaptation. Back are interested in methods that perform enhancement on the speech signal. Several methods falling

  19. Preferred track: Speech Motor Control Title: Specificity of speech sensori-motor learning

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    COVER PAGE Preferred track: Speech Motor Control Title: Specificity of speech sensori-motor University, France. Ph.D. thesis focused on the link between language universals and the motor constraints of speech production. Current research focuses on speech sensori-motor learning and its consequences

  20. Speech coding, reconstruction and recognition using acoustics and electromagnetic waves

    DOE Patents [OSTI]

    Holzrichter, J.F.; Ng, L.C.

    1998-03-17T23:59:59.000Z

    The use of EM radiation in conjunction with simultaneously recorded acoustic speech information enables a complete mathematical coding of acoustic speech. The methods include the forming of a feature vector for each pitch period of voiced speech and the forming of feature vectors for each time frame of unvoiced, as well as for combined voiced and unvoiced speech. The methods include how to deconvolve the speech excitation function from the acoustic speech output to describe the transfer function each time frame. The formation of feature vectors defining all acoustic speech units over well defined time frames can be used for purposes of speech coding, speech compression, speaker identification, language-of-speech identification, speech recognition, speech synthesis, speech translation, speech telephony, and speech teaching. 35 figs.

  1. IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 9, NO. 7, OCTOBER 2001 731 Speech Enhancement Using a

    E-Print Network [OSTI]

    Texas at Dallas, University of

    , IEEE Abstract--This paper presents a sinusoidal model based algo- rithm for enhancement of speech--Sinusoidal speech model, speech and noise, speech enhancement, speech quality. I. INTRODUCTION IN general, the need.g., [24]), the sinusoidal model has not received the same level of attention in a speech enhancement

  2. FE Press Releases and Techlines | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrackEllen|July 14,DepartmentDepartment of1. Q: Who is5,

  3. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  4. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  5. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  6. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  7. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  8. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  9. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  10. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  11. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport in Representative Geologic MediaTreatment |SafeguardsAugustNovember 22,May 18,July

  12. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  13. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport in Representative Geologic MediaTreatment |SafeguardsAugustNovember 22,MayMay 2,

  14. FE Press Releases and Techlines | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  15. Speech synthesis by phonological structure matching.

    E-Print Network [OSTI]

    Taylor, Paul; Black, Alan W

    1999-01-01T23:59:59.000Z

    This paper presents a new technique for speech synthesis by unit selection. The technique works by specifying the synthesis target and the speech database as phonological trees, and using a selection algorithm which ...

  16. Resources for speech synthesis of Viennese varieties

    E-Print Network [OSTI]

    Pucher, Michael; Neubarth, Friedrich; Strom, Volker; Moosmuller, Sylvia; Hofer, Gregor; Kranzler, Christian; Schuchmann, Gudrun; Schabus, Dietmar

    2010-01-01T23:59:59.000Z

    This paper describes our work on developing corpora of three varieties of Viennese for unit selection speech synthesis. The synthetic voices for Viennese varieties, implemented with the open domain unit selection speech ...

  17. Intelligibility enhancement of synthetic speech in noise

    E-Print Network [OSTI]

    Edinburgh, University of

    Intelligibility enhancement of synthetic speech in noise C´assia Valentini Botinh~ao TH E U N I V E of a hidden Markov model (HMM-) based speech synthesis system that allows for flexible enhancement strategies with noise-independent enhancement approaches based on the acoustics of highly intelligible speech

  18. Iterative Speech Enhancement With Spectral Constraints

    E-Print Network [OSTI]

    Texas at Dallas, University of

    Iterative Speech Enhancement With Spectral Constraints John H. Hansen and Mark A. Clements Georgia iterative speech enhancementtechnique based on spectral constraints is presented in this paper estimate of a speech waveform in additive white noise. Thenew approach applies inter- and intra

  19. Signal Subspace Methods for Speech Enhancement

    E-Print Network [OSTI]

    Signal Subspace Methods for Speech Enhancement Ph.D. Thesis Peter S. K. Hansen LYNGBY 1997 IMM Lyngby -- Denmark 1997­09­30 pskh Signal Subspace Methods for Speech Enhancement Ph.D. Thesis Peter S. K is Signal Subspace Methods for Speech Enhancement where techniques from the areas of signal processing

  20. ABOUT SPEECH MOTOR CONTROL COMPLEXITY Pascal Perrier

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    20/07/2005 ABOUT SPEECH MOTOR CONTROL COMPLEXITY Pascal Perrier Institut de la Communication Parle ABSTRACT A key issue in research about speech motor control is the one of the level of complexity of the speech motor system, including the complex tongue-jaw biomechanics? Or would more simple internal

  1. Microphone array processing for speech : dual channel localization, robust beamforming, and ICA analysis

    E-Print Network [OSTI]

    Zhang, Wenyi

    2010-01-01T23:59:59.000Z

    and I. Cohen, Speech enhancement based on the generalawareness, speech enhancement and noise suppression,Whats more, in speech enhancement or speech separation

  2. Energy Speeches | Department of Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasReleaseSpeeches Energy Speeches RSS June 25, 2015 Deputy

  3. Workload Characterization and Performance Implications of Large-Scale Blog Servers

    SciTech Connect (OSTI)

    Jeon, Myeongjae [Rice University; Kim, Youngjae [ORNL; Hwang, Jaeho [KAIST, Daejeon, Republic of Korea; Lee, Joonwon [SungKyunKwan University, Korea; Seo, Euiseong [SungKyunKwan University, Korea

    2012-01-01T23:59:59.000Z

    With the ever-increasing popularity of social network services (SNSs), an understanding of the characteristics of these services and their effects on the behavior of their host servers is critical. However, there has been a lack of research on the workload characterization of servers running SNS applications such as blog services. To fill this void, we empirically characterized real-world web server logs collected from one of the largest South Korean blog hosting sites for 12 consecutive days. The logs consist of more than 96 million HTTP requests and 4.7 TB of network traffic. Our analysis reveals the followings: (i) The transfer size of non-multimedia files and blog articles can be modeled using a truncated Pareto distribution and a log-normal distribution, respectively; (ii) User access for blog articles does not show temporal locality, but is strongly biased towards those posted with image or audio files. We additionally discuss the potential performance improvement through clustering of small files on a blog page into contiguous disk blocks, which benefits from the observed file access patterns. Trace-driven simulations show that, on average, the suggested approach achieves 60.6% better system throughput and reduces the processing time for file access by 30.8% compared to the best performance of the Ext4 file system.

  4. A Comparison of Techniques for Detecting Abnormal Change in Blogs

    SciTech Connect (OSTI)

    Furuta, Dr. Richard Keith [Texas A& M University] [Texas A& M University; ShipmanIII, Dr. Frank Major [Texas A& M University] [Texas A& M University; Bogen, Paul Logasa [ORNL] [ORNL

    2012-01-01T23:59:59.000Z

    Distributed collections are made of metadata entries that contain references to artifacts not controlled by the collection curators. These collections often have limited forms of change; for digital distributed collections, primarily creation and deletion of additional resources. However, there exists a class of digital collection that undergoes additional kinds of change. These collections consist of resources that are distributed across the Internet and brought together via hyperlinking. Resources in these collections can be expected to change as time goes on. Part of the difficulty in maintaining these collections is determining if a changed page is still a valid member of the collection. Others have tried to address this by defining a maximum allowed threshold of change, however, these methods treat change as a potential problem and treat web content as static despite its intrinsic dynamicism. Instead we acknowledge change on the web as a normal part of a web document and determine the difference between what a maintainer expects a page to do and what it actually does. In this work we evaluate options for extractors and analyzers from a suite of techniques against a human-generated ground-truth set of blog changes. The results of this work show a statistically significant improvement over traditional threshold techniques for our collection.

  5. A LANGUAGE RESOURCES GENERATION TOOLBOX FOR SPEECH SYNTHESIS David Sundermann

    E-Print Network [OSTI]

    Suendermann, David

    corpora for speech synthesis in the European project TC- Star. 1. INTRODUCTION One of the objectives of the European project TC-Star (Technology and Corpora for Speech-to-Speech Transla- tion) [1] is the generation of corpora for text-to-speech syn- thesis. According to the TC-Star speech synthesis language resources

  6. Speech Enhancement for Android (SEA): A Speech Processing Demonstration Tool for Android Based Smart Phones and Tablets

    E-Print Network [OSTI]

    Speech Enhancement for Android (SEA): A Speech Processing Demonstration Tool for Android Based presents a speech processing platform which can be used to demonstrate and investigate speech enhancement methods. This platform is called Speech Enhancement for Android (SEA), and has been developed

  7. Unit selection in a concatenative speech synthesis system using a large speech database

    E-Print Network [OSTI]

    Hunt, Andrew; Black, Alan W

    One approach to the generation of natural-sounding synthesized speech waveforms is to select and concatenate units from a large speech database. Units (in the current work, phonemes) are selected to produce a natural realisation of a target phoneme...

  8. Concept-to-speech synthesis by phonological structure matching

    E-Print Network [OSTI]

    Taylor, Paul

    2000-04-15T23:59:59.000Z

    This paper presents a new way of generating synthetic-speech waveforms from a linguistic description. The algorithm is presented as a proposed solution to the speech-generation problem in a concept-to-speech system. Off-line, ...

  9. Binaural model-based speech intelligibility enhancement and assessment in

    E-Print Network [OSTI]

    #12;Binaural model-based speech intelligibility enhancement and assessment in hearing aids beamforming and the effect on binaural cues and speech intelligibility . . . . . . . . . . 31 2.3.4 Cepstral smoothing of masks . . . . . . . . . . . . . . . . . . 35 2.4 Binaural CASA speech

  10. Low Complexity Spectral Imputation for Noise Robust Speech Recognition

    E-Print Network [OSTI]

    van HOUT, Julien

    2012-01-01T23:59:59.000Z

    Y. and Malah, D. , Speech enhancement using a minimum-meanY. and Malah, D. , Speech enhancement using a minimum mean-7] Loizou, P.C. , Speech Enhancement: Theory and Practice,

  11. PERFORMANCE OF NONLINEAR SPEECH ENHANCEMENT USING PHASE SPACE RECONSTRUCTION

    E-Print Network [OSTI]

    Povinelli, Richard J.

    PERFORMANCE OF NONLINEAR SPEECH ENHANCEMENT USING PHASE SPACE RECONSTRUCTION Michael T. Johnson enhancement methods. The proposed nonlinear methods are compared with traditional speech enhancement-Malah filtering, as had been suggested by previous studies. 1. INTRODUCTION Speech enhancement methods endeavor

  12. Applications of broad class knowledge for noise robust speech recognition

    E-Print Network [OSTI]

    Sainath, Tara N

    2009-01-01T23:59:59.000Z

    This thesis introduces a novel technique for noise robust speech recognition by first describing a speech signal through a set of broad speech units, and then conducting a more detailed analysis from these broad classes. ...

  13. ALTERNATIVE SPEECH COMMUNICATION BASED ON CUED SPEECH Panikos Heracleous, Noureddine Aboutabit, and Denis Beautemps

    E-Print Network [OSTI]

    Boyer, Edmond

    speech produced when vocal folds are not vibrating (i.e., whisper speech), and also tissue- conducted Non is the motor which makes link between the different modalities. Move- ments of the invisible articulators environmental noise does not affect alternative speech, it can be used when the communication occurs in noisy

  14. Combining missing-feature theory, speech enhancement, and speaker-dependent/-independent modeling

    E-Print Network [OSTI]

    Glass, James R.

    Combining missing-feature theory, speech enhancement, and speaker-dependent/-independent modeling filter for speech enhancement, hidden Markov models for speech reconstruction, and speaker reserved. Keywords: Speech enhancement; Speaker modeling; Speech recognition; Missing-feature theory

  15. Welcome to the Third World Network-Africa (TWN-Africa) Blog

    E-Print Network [OSTI]

    Welcome to the Third World Network- Africa (TWN-Africa) Blog September 24, 2008 15:25:42 PM Press By administrator Dr.Yao Graham (left) and development economist Dr.Nii Moi Thompson (right) @ launch of UNCTAD... administrator Male Category unctadxii (2) csoforum (1) cso forum (1) extractives (1) unctad xii radio discuss

  16. Predicting Response to Political Blog Posts with Topic Models Language Technologies Institute

    E-Print Network [OSTI]

    Cohen, William W.

    - tent Dirichlet Allocation, introduced by Blei et al. (2003), in various ways to capture different char a blog site. The model is an extension of Latent Dirichlet Allocation (LDA) introduced by Blei et al for learning and/or prediction (Blei et al., 2003). Different models can be compared to explore

  17. Science Blog -Bacterium cleans up uranium, generates electricity Create an account

    E-Print Network [OSTI]

    Lovley, Derek

    Science Blog - Bacterium cleans up uranium, generates electricity Create an account :: Home electricity Department of Energy-funded researchers have decoded and analyzed the genome of a bacterium with the potential to bioremediate radioactive metals and generate electricity. In an article published

  18. Latent Friend Mining from Blog Data , Jian-Tao Sun2

    E-Print Network [OSTI]

    Yang, Qiang

    , it is not easy to obtain and maintain the profiles manually. Therefore, the automatic approaches in mining usersLatent Friend Mining from Blog Data Dou Shen1 , Jian-Tao Sun2 , Qiang Yang1 , Zheng Chen2 1 in recent years with benefits for different types of users. For individuals, the Web community helps

  19. Speech masking and cancelling and voice obscuration

    DOE Patents [OSTI]

    Holzrichter, John F.

    2013-09-10T23:59:59.000Z

    A non-acoustic sensor is used to measure a user's speech and then broadcasts an obscuring acoustic signal diminishing the user's vocal acoustic output intensity and/or distorting the voice sounds making them unintelligible to persons nearby. The non-acoustic sensor is positioned proximate or contacting a user's neck or head skin tissue for sensing speech production information.

  20. Speech & Hearing Clinic College of Science

    E-Print Network [OSTI]

    Hickman, Mark

    Speech & Hearing Clinic College of Science Department of Communication Disorders How to contact us assessment, please contact the Speech and Hearing Clinic during business hours to make an appointment. Clinical Reception: Tel: 03 364 2408 Fax: 03 364 2760 Email: clinic@cmds.canterbury.ac.nz www

  1. Speech & Hearing Clinic College of Science

    E-Print Network [OSTI]

    Hickman, Mark

    Speech & Hearing Clinic College of Science Department of Communication Disorders How to contact us: Please contact the Speech and Hearing Clinic during business hours to make an appointment. Clinical Reception: Tel: 03 364 2408 Fax: 03 364 2760 Email: clinic@cmds.canterbury.ac.nz www

  2. AUDITORY CODING BASED SPEECH ENHANCEMENT Yao Ren, Michael T. Johnson

    E-Print Network [OSTI]

    Johnson, Michael T.

    AUDITORY CODING BASED SPEECH ENHANCEMENT Yao Ren, Michael T. Johnson Speech and Signal Processing This paper demonstrates a speech enhancement system based on an efficient auditory coding approach, coding-stationary characteristics of speech signals than the Fourier transform or wavelet transform. Enhancement is accomplished

  3. SPEECH ENHANCEMENT USING HARMONIC REGENERATION Cyril Plapous 1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    SPEECH ENHANCEMENT USING HARMONIC REGENERATION Cyril Plapous 1 , Claude Marro 1 , Pascal Scalart 2 in enhanced speech because of the non reliability of estimators for small signal- to-noise ratios. We propose The problem of enhancing speech degraded by additive noise, when only the noisy speech is available, has been

  4. Usefulness of Phase in Speech Processing Kuldip K. Paliwal

    E-Print Network [OSTI]

    of the speech processing applications (such as speech recognition [1, 2] and enhancement [3, 4]). It is perhaps using only power spectrum (phase spectrum is totally ignored). Similarly, in speech enhancement systems [3], only power spectrum is enhanced; phase spectrum of noisy speech is left untouched. In this paper

  5. PSYCHOACOUSTICALLY CONSTRAINED AND DISTORTION MINIMIZED SPEECH ENHANCEMENT ALGORITHM

    E-Print Network [OSTI]

    Yoo, Chang D.

    PSYCHOACOUSTICALLY CONSTRAINED AND DISTORTION MINIMIZED SPEECH ENHANCEMENT ALGORITHM Seokhwan Jo minimized speech enhancement algorithm is considered. In general, noise reduction leads to speech distortion, and thus, the goal of an enhancement al- gorithm should reduce noise and speech distortion so that both

  6. SPEECH ENHANCEMENT USING MULTI--PULSE EXCITED LINEAR PREDICTION SYSTEM

    E-Print Network [OSTI]

    SPEECH ENHANCEMENT USING MULTI--PULSE EXCITED LINEAR PREDICTION SYSTEM K.K. PALIWAL Computer enhancement. It is shown that for successful enhancement of speech the error--weighting filter should of enhancing speech corrupted by additive white noise, when only noisy speech is available, is of considerable

  7. 1600 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 19, NO. 6, AUGUST 2011 Unvoiced Speech Segregation From Nonspeech

    E-Print Network [OSTI]

    Wang, DeLiang "Leon"

    of unvoiced speech from nonspeech interference. Speech enhancement methods have been proposed to enhance noisy1600 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 19, NO. 6, AUGUST 2011 Unvoiced Speech Segregation From Nonspeech Interference via CASA and Spectral Subtraction Ke Hu, Student

  8. 1110 IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 13, NO. 6, NOVEMBER 2005 Processing of Reverberant Speech

    E-Print Network [OSTI]

    Zotkin, Dmitry N.

    algorithms, and also for enhancement of speech. For time-delay estimation, speech sig- nals are normally at an array of microphones and enhance- ment of the received speech signals are challenging tasks [1], [2.853005 time-delay information is also useful to enhance the speech, by combining the output signals from

  9. IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 10, NO. 6, SEPTEMBER 2002 341 Speech Enhancement Using a

    E-Print Network [OSTI]

    Gannot, Sharon

    , IEEE Abstract--We present a spectral domain, speech enhancement algorithm. The new algorithm is based to alterna- tive speech enhancement algorithms. Index Terms--Gaussian mixture model, MIXMAX model, speech enhancement. I. INTRODUCTION SPEECH quality and intelligibility might significantly deteriorate

  10. Articulatory-based Speech Processing Methods for Foreign Accent Conversion

    E-Print Network [OSTI]

    Felps, Daniel

    2012-10-19T23:59:59.000Z

    vowel systems. ................................. 11 Figure 2 Midsagittal diagram of human speech production mechanisms. ................................... 12 Figure 3 According to the acoustic theory of speech production, speech is the convolution... will be presented in section 4. 14 Figure 3 According to the acoustic theory of speech production, speech is the convolution of a source (left) with a filter (middle). Figure 4 Wideband spectrogram of the sentence, ?How much was it?? Figure 5 General...

  11. High-rate optimized quantization structures and speaker- dependent wideband speech coding

    E-Print Network [OSTI]

    Duni, Ethan Robert

    2007-01-01T23:59:59.000Z

    and Speaker-Dependent Speech Enhancement ICASSP 2002. [45]been employed in speech enhancement settings (c.f. [44]). Inparticularly speech recognition (see [2]) and enhancement (

  12. Enhancing Graduate Student Communication to General Audiences through Blogging about Nanotechnology and Sustainability

    SciTech Connect (OSTI)

    Bishop, Lee M.; Tillman, Ayesha S.; Geiger, Franz M.; Haynes, Christy L.; Klaper, Rebecca D.; Murphy, Catherine; Orr, Galya; Pedersen, Joel A.; DeStefano, Lizanne; Hamers, Robert J.

    2014-10-14T23:59:59.000Z

    We have developed and assessed a multiauthor science blog on the topic of nanotechnology and sustainability as a tool to improve the written communication and public engagement skills of graduate students. Focus group studies revealed that after participation in the blog, student authors felt more confident and capable of communicating technical topics to general audiences. Students' research mentors viewed this as an important component of their students' education, as indicated by survey data. Important design aspects of this effort include participation of an editor as well as having flexible content and target-audience guidelines. We have explicitly outlined aspects of the effort we see as critical in order to enable others to replicate this model in related settings.

  13. CHATR: A generic speech synthesis system

    E-Print Network [OSTI]

    Black, Alan W; Taylor, Paul A

    1994-01-01T23:59:59.000Z

    This paper describes a generic speech synthesis system called CHATR which is being developed at ATR. CHATR is designed in a modular way so that module parameters and even which modules are actually used may be set and ...

  14. Speech Synthesis Without a Phone Inventory

    E-Print Network [OSTI]

    Aylett, Matthew; King, Simon; Yamagishi, Junichi

    2009-01-01T23:59:59.000Z

    In speech synthesis the unit inventory is decided using phonological and phonetic expertise. This process is resource intensive and potentially sub-optimal. In this paper we investigate how acoustic clustering, together with lexicon constraints, can...

  15. Intelligibility enhancement of synthetic speech in noise

    E-Print Network [OSTI]

    Valentini Botinha?o, Ca?ssia

    2013-11-28T23:59:59.000Z

    , providing the correct information in adverse conditions can be crucial to certain applications. Speech that adapts or reacts to different listening conditions can in turn be more expressive and natural. In this work we focus on enhancing the intelligibility...

  16. Articulatory Evidence for Interactivity in Speech Production

    E-Print Network [OSTI]

    McMillan, Corey

    2009-01-01T23:59:59.000Z

    Traditionally, psychologists and linguists have assumed that phonological speech errors result from the substitution of well-formed segments. However, there is growing evidence from acoustic and articulatory analyses of ...

  17. Sandia and UNM lead effort to destroy cancers | Science Blog http://scienceblog.com/44424/sandia-and-unm-lead-effort-to-destroy-cancers/[4/21/2011 11:32:39 AM

    E-Print Network [OSTI]

    Brinker, C. Jeffrey

    Sandia and UNM lead effort to destroy cancers | Science Blog http://scienceblog.com/44424/sandia-and-unm-lead Tucker blog advertising is good for you Buy a Blogad! Sandia and UNM lead effort to destroy cancers;Sandia and UNM lead effort to destroy cancers | Science Blog http://scienceblog.com/44424/sandia-and-unm-lead

  18. SPEECH MODELLING BY NON-STATIONARY PARTIALS WITH TIME VARYING AMPLITUDE AND FREQUENCY

    E-Print Network [OSTI]

    Dony, Bob

    in a speech enhancement system. Keywords: Speech Decomposition, Chirp Estimation 1. INTRODUCTION Recently performance in speech modeling and enhancement. Meth- ods like sinusoidal analysis [1] treat the speech heav- ily on the harmonic speech structure of the analyzed signal and when using in speech enhancement

  19. A SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE FOR TIME-FREQUENCY WEIGHTED NOISY SPEECH

    E-Print Network [OSTI]

    Terms-- intelligibility prediction, speech enhancement, noisy speech. 1. INTRODUCTION Speech processing systems, such as a speech-enhancement scheme or an intelligibility improvement algorithm in a hearing aid. This includes single-microphone speech-enhancement algorithms, e.g., [8], but also speech separation techniques

  20. 2/28/13 11:59 AMImpostors, the Culture of Science, and Fulfilling Our Potential | Context and Variation, Scientific American Blog Network Page 1 of 4http://blogs.scientificamerican.com/context-and-variation/2012/08/09/impostors-the-culture-of-science-sci-

    E-Print Network [OSTI]

    Pierce, Lillian

    , to a major blog network, or to a tenure-track position *cough not me cough*. This second-guessing based

  1. Automatically clustering similar units for unit selection in speech synthesis.

    E-Print Network [OSTI]

    Black, Alan W; Taylor, Paul A

    1997-01-01T23:59:59.000Z

    This paper describes a new method for synthesizing speech by concatenating sub-word units from a database of labelled speech. A large unit inventory is created by automatically clustering units of the same phone class ...

  2. Assigning phrase breaks from part-of-speech sequences

    E-Print Network [OSTI]

    Taylor, Paul; Black, Alan W

    This paper presents an algorithm for automatically assigning phrase breaks to unrestricted text for use in a text-to-speech synthesizer. Text is first converted into a sequence of part-of-speech tags. Next a Markov model ...

  3. Speech coding using spline wavelet and adaptive backward prediction

    E-Print Network [OSTI]

    Zeng, Jingdong

    1994-01-01T23:59:59.000Z

    effort seems to be lacking in the application of using semi-orthogonal wavelets to speech coding, especially in real-time mode. In this thesis, the application of splinewavelets incorporating adaptive backward prediction to speech coding is investigated...

  4. Dept. for Speech, Music and Hearing Quarterly Progress and

    E-Print Network [OSTI]

    Carlson, Rolf

    modelling in speech synthesis Carlson, R. and Granstrom, B. and Karlsson, I. journal: STL-QPSR volume: 31

  5. A TWO-STAGE ALGORITHM FOR ENHANCEMENT OF REVERBERANT SPEECH

    E-Print Network [OSTI]

    Wang, DeLiang "Leon"

    A TWO-STAGE ALGORITHM FOR ENHANCEMENT OF REVERBERANT SPEECH Mingyang Wu and DeLiang Wang Department, respectively. Based on this observation, we propose a two-stage algorithm that enhances reverberant speech from) and speaker recognition systems. Consequently, an effective reverberant speech enhancement system can be used

  6. Improved Signal-to-Noise Ratio Estimation for Speech Enhancement

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Improved Signal-to-Noise Ratio Estimation for Speech Enhancement Cyril Plapous, Member, IEEE speech enhancement in noisy environments. State-of- the-art short-time noise reduction techniques reduction techniques, includ- ing TSNR, introduce harmonic distortion in enhanced speech because

  7. SPEECH ENHANCEMENT USING A STATISTICALLY DERIVED FILTER MAPPING

    E-Print Network [OSTI]

    Kabal, Peter

    SPEECH ENHANCEMENT USING A STATISTICALLY DERIVED FILTER MAPPING Yan Ming Cheng, Douglas, Quebec H3E 1H6 Canada Abstract We view the speech enhancement task in two aspects: reduc- tion Mapping (NISSM) to estimate a speech enhancement Wiener filter. NISSM consists of a noise

  8. SPEECH ENHANCEMENT USING ADAPTIVE FILTERS AND INDEPENDENT COMPONENT ANALYSIS APPROACH

    E-Print Network [OSTI]

    Cichocki, Andrzej

    SPEECH ENHANCEMENT USING ADAPTIVE FILTERS AND INDEPENDENT COMPONENT ANALYSIS APPROACH Tomasz://www.bsp.brain.riken.go.jp/ ABSTRACT In this paper we consider the problem of enhancement and extraction of one speaker speech signal speech. After that de- sired signal is reconstructed from independent components representing every

  9. Listening to talking faces: motor cortical activation during speech perception

    E-Print Network [OSTI]

    Coulson, Seana

    in planning and executing speech production and areas subserving proprioception related to speech production that regions traditionally considered to be responsible for motor planning and motor control play a role production and that these areas contribute less to speech perception when only auditory signals are present

  10. IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 7, NO. 4, JULY 1999 391 A Dynamic System Approach to Speech

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    Approach to Speech Enhancement Using the Filtering Algorithm Xuemin Shen, Member, IEEE, and Li Deng, Senior Member, IEEE Abstract-- This paper presents a new approach to speech enhancement based on the H1 robust and more appropriate in practical speech enhancement. The proposed ap- proach is straightforward

  11. 126 IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 7, NO. 2, MARCH 1999 Single Channel Speech Enhancement Based on

    E-Print Network [OSTI]

    Allen, Jont

    Speech Enhancement Based on Masking Properties of the Human Auditory System Nathalie Virag Abstract--This paper addresses the problem of single channel speech enhancement at very low signal-to-noise ratios (SNR as subjective listening tests, confirm that the enhanced speech is more pleasant to a human listener. Finally

  12. 870 IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 13, NO. 5, SEPTEMBER 2005 Relaxed Statistical Model for Speech Enhancement

    E-Print Network [OSTI]

    Cohen, Israel

    Statistical Model for Speech Enhancement and a Priori SNR Estimation Israel Cohen, Senior Member, IEEE Abstract--In this paper, we propose a statistical model for speech enhancement that takes into account enhancement, time-frequency analysis. I. INTRODUCTION ONE OF THE most popular methods for enhancing speech

  13. IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 20, NO. 6, AUGUST 2012 1869 Constrained Iterative Speech Enhancement

    E-Print Network [OSTI]

    Texas at Dallas, University of

    Constrained Iterative Speech Enhancement Using Phonetic Classes Amit Das, Student Member, IEEE, and John H. L enhancement algorithms like Auto-LSP, log-minimum mean squared error (log-MMSE), and log-MMSE with speech--Auditory masked threshold, Auto-LSP, con- strained iterative speech enhancement. I. INTRODUCTION NOISE is present

  14. 2/14/14 10:42 AMCoursera Blog The Age of Sustainable Development from Jeff Sachs, Columbia University Page 1 of 3http://blog.coursera.org/post/70466942063/the-age-of-sustainable-development-from-jeff-sachs

    E-Print Network [OSTI]

    , Columbia University Jeffrey D. Sachs is Director of the Earth Institute at Columbia University Special critical than ever rather than watch me lecture for an hour, my students at Columbia University will watch2/14/14 10:42 AMCoursera Blog · The Age of Sustainable Development from Jeff Sachs, Columbia

  15. TONGUES: RAPID DEVELOPMENT OF A SPEECH-TO-SPEECH TRANSLATION SYSTEM Alan W Black

    E-Print Network [OSTI]

    Black, Alan W

    -to- speech translation system in a new language that could run on a small portable computer. Croatian reasons, Croatian was chosen as the target language. Although spoken by around 5 million people, it does

  16. Real-time audiovisual speech capture and motion tracking for speech-driven facial animation

    E-Print Network [OSTI]

    Jablonski, Karl Adam

    2013-02-22T23:59:59.000Z

    movements through speech patterns, they are limited by their storage requirements and high-priced equipment. Furthermore, the audiovisual processing can be delayed, taking place after the initial capture and transfer of all required audio and video...

  17. 9/18/09 2:49 PM`Dark Energy' reminds us: consensus has no place in real science -Telegraph Blogs Page 1 of 42http://blogs.telegraph.co.uk/news/jamesdelingpole/100006809/dark-energy-reminds-us-consensus-has-no-place-in-real-science/

    E-Print Network [OSTI]

    Temple, Blake

    9/18/09 2:49 PM`Dark Energy' reminds us: consensus has no place in real science - Telegraph Blogs Page 1 of 42http://blogs.telegraph.co.uk/news/jamesdelingpole/100006809/dark-energy Lifestyle Comment Travel Culture Technology Fashion #12;9/18/09 2:49 PM`Dark Energy' reminds us: consensus

  18. The role of feedback in speech motor learning : insights from healthy speakers and applications to the treatment of apraxia of speech

    E-Print Network [OSTI]

    Austermann-Hula, Shannon Noelle

    2008-01-01T23:59:59.000Z

    performance enhancement during initial speech skillenhancement but interfere with retention and transfer of speechenhancement but interfere with long-term retention and transfer of speech

  19. IMPROVING INTELLIGIBILITY IN NOISE OF HMM-GENERATED SPEECH VIA NOISE-DEPENDENT AND -INDEPENDENT METHODS

    E-Print Network [OSTI]

    Edinburgh, University of

    the intelligibility of HMM-generated Text-to- Speech (TTS) in noise, this work evaluates several speech enhance- ment in noise. Accordingly, there is great interest in speech in- telligibility enhancement algorithms for both] and the insertion of small pauses [14]. Statistical approaches to speech enhancement using recordings of speech

  20. Speech enhancement using the modified phase-opponency Om D. Deshmukha

    E-Print Network [OSTI]

    Carney, Laurel H.

    Speech enhancement using the modified phase-opponency model Om D. Deshmukha and Carol Y. Espy Phase-Opponency MPO model for single-channel speech enhancement when the speech is corrupted by additive methods when the speech signals are corrupted by fluctuating noise. Combining the MPO speech enhancement

  1. A Speech Processing Research Platform for Android Based Smart Phones and Tablets

    E-Print Network [OSTI]

    is called Speech Enhancement for Android (SEA) and incorporates past and present speech enhancement- ing staff can use this platform to perform speech enhancement and observe its effects. Index Terms: speech enhancement, speech processing, spec- trogram, Android, smart phone 1. Introduction

  2. An Evaluation of Objective Quality Measures for Speech Intelligibility Cees H. Taal1

    E-Print Network [OSTI]

    -coder, residual noise and speech distortion in a speech enhancement scheme or an intelligibility improvementAn Evaluation of Objective Quality Measures for Speech Intelligibility Prediction Cees H. Taal1 the intelligibility for a wide range of non-linearly processed speech signals and speech degraded by additive noise

  3. Home Video Blog Research Topics Politics World Markets Policy Energy Tech History Religion Books Sports TweetTweet 5 Email | Print | 0 Comments | Share

    E-Print Network [OSTI]

    de Bivort, Benjamin

    Home Video Blog Research Topics Politics World Markets Policy Energy Tech History Religion Books. This is aberrant behavior, but the authors were not able to identify a genetic explanation for this

  4. An automatic child-directed speech detector for the study of child language development

    E-Print Network [OSTI]

    Vosoughi, Soroush

    In this paper, we present an automatic child-directed speech detection system to be used in the study of child language development. Child-directed speech (CDS) is speech that is directed by caregivers towards infants. It ...

  5. Modulation Domain Spectral Subtraction for Speech Enhancement Kuldip Paliwal, Belinda Schwerin, Kamil Wojcicki

    E-Print Network [OSTI]

    Modulation Domain Spectral Subtraction for Speech Enhancement Kuldip Paliwal, Belinda Schwerin- native to the acoustic domain for speech enhancement. More specifically, we wish to determine how achieves better back- ground noise reduction than the MMSE method. Index Terms: speech enhancement

  6. BANDWIDTH EXTENSION OF TELEPHONE SPEECH USING FRAME-BASED EXCITATION AND ROBUST FEATURES

    E-Print Network [OSTI]

    Slatton, Clint

    to increase the quality and intelligibility of speech, bandwidth extension (BWE) is used to extend NB speech per concentrates on extending NB to HB speech. This notion deviates from the usual aspects of BWE

  7. Infinite Support Vector Machines in Speech Recognition

    E-Print Network [OSTI]

    Yang, Jingzhou; van Dalien, Rogier C.; Gales, M. J. F.

    2013-01-01T23:59:59.000Z

    Infinite Support Vector Machines in Speech Recognition Jingzhou Yang, Rogier C. van Dalen and Mark Gales Department of Engineering, University of Cambridge Trumpington Street, Cambridge, CB2 1PZ, UK {jy308,rcv25,mjfg}@eng.cam.ac.uk Abstract... ., Secaucus, NJ, USA, 2006. [14] Carl Edward Rasmussen, The infinite Gaussian mixture model, in Advances in Neural Information Processing Systems 12. 2000, pp. 554560, MIT Press. [15] Yee Whye Teh, Dirichlet processes, in Encyclopedia of Ma- chine...

  8. 918 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 15, NO. 3, MARCH 2007 MAP Estimators for Speech Enhancement Under

    E-Print Network [OSTI]

    Estimators for Speech Enhancement Under Normal and Rayleigh Inverse Gaussian Distributions Richard C for speech enhancement in the discrete Fourier transform (DFT) domain, where we consider a multidimensional) distribution, speech enhancement. I. INTRODUCTION THE recent increased use of mobile speech processing ap

  9. ARM - Blog

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearchSOLICITATIONIMODI FICATION OFMaterialsAnnualProject (BBOP) Related

  10. Alevine's blog

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy Resources Jump to: navigation, searchAlcoa Jump

  11. Blog Archive

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartmentWindConversionResults inBiopower BasicsBioproducts

  12. Energy Blog

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13,Statement | Department ofEVDepartmentDepartmentEnergyAssurance

  13. Shreyavaidya's blog

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, New York: EnergySumoncleShidaMinnesota:Shreveport,

  14. Ewilson's blog

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazelPennsylvania: Energy Resources(RECP)Coolers JumpOpenRoad

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia,IDGWP Wind Farm Jump to:ILab IncubatorISESpurs

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii |Island, Florida: Energy Resources Jump en

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    Open Energy Info (EERE)

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  18. Wzeng's blog

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch, New York:State ParksWyrulec

  19. LPO Blog

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil & Gas » MethaneJohnsonKristina PflanzLM News

  20. Staff Blogs

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclearHomelandMultivariateSite MapCrimeCornell Policies User

  1. Rmckeel's blog

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey Jump to: navigation, search Namedatabase version 1

  2. Sfederspiel's blog

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAir JumpCaliforniaGroupEnabling Unique

  3. Sfomail's blog

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAir JumpCaliforniaGroupEnabling

  4. Energy blogs

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergy OffshoreDeveloper -NeoEnterprisesUnlimited Incage

  5. Solar Blog

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative JC3 RSS September 9,AwardGradsSites Pending Transfer toSocial MediaSoilSolar Access

  6. Nilam's blog

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri: Energy Resources Jump to:Nigeria: Energy Resources

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    Open Energy Info (EERE)

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  8. EERE Blog

    Broader source: Energy.gov (indexed) [DOE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015 Business42.1Energy |FinalEESS-7 to export| Department

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  12. Blog posts

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  13. Sequential organization of speech in computational auditory scene analysis

    E-Print Network [OSTI]

    Wang, DeLiang "Leon"

    to the listener, such as a ventilation fan in an office or a car passing by on the street. Cochannel speech

  14. audiovisual speech perception: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Speech Perception, Phonology and Morphology CiteSeer Summary: 5> Developmental dyslexia is diagnosed in children who fail to acquire age-appropriate reading skills in the...

  15. Dept. for Speech, Music and Hearing Quarterly Progress and

    E-Print Network [OSTI]

    Carlson, Rolf

    at KTH related to speech recognition Blomberg, M. and Carlson, R. and Elenius, K. O. E. and Granstrom, B

  16. Dept. for Speech, Music and Hearing Quarterly Progress and

    E-Print Network [OSTI]

    Carlson, Rolf

    text-to-speech system for the disabled Carlson, R. and Galyas, K. and Granstrom, B. and Hunnicutt, S

  17. Dept. for Speech, Music and Hearing Quarterly Progress and

    E-Print Network [OSTI]

    Carlson, Rolf

    with speech or text output Carlson, R. and Granstrom, B. and Hunnicutt, S. journal: STL-QPSR volume: 22

  18. Dept. for Speech, Music and Hearing Quarterly Progress and

    E-Print Network [OSTI]

    Carlson, Rolf

    -to-speech module Carlson, R. and Granstrom, B. and Hunnicutt, S. journal: STL-QPSR volume: 22 number: 4 year: 1981

  19. Dept. for Speech, Music and Hearing Quarterly Progress and

    E-Print Network [OSTI]

    Carlson, Rolf

    -to-speech system as a reading machine for the blind Carlson, R. and Granstrom, B. and Larsson, K. journal: STL

  20. 466 IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 11, NO. 5, SEPTEMBER 2003 Noise Spectrum Estimation in Adverse Environments

    E-Print Network [OSTI]

    Cohen, Israel

    --Noise spectrum estimation is a fundamental compo- nent of speech enhancement and speech recognition systems into a speech enhancement system achieves improved speech quality and lower residual noise. I. INTRODUCTION NOISE POWER spectrum estimation is a fundamental component of speech enhancement and speech recog

  1. Dept. for Speech, Music and Hearing Quarterly Progress and

    E-Print Network [OSTI]

    Carlson, Rolf

    have taken advantage of the speech synthesis technique, which is the second topic of this thesis part of our thesis we present a powerful tool, a programming language, for formalizations of dynamic for the blind with promising results. The importance of using speech synthesis techniques in per- ceptual

  2. Research Article Preschool Speech Error Patterns Predict Articulation

    E-Print Network [OSTI]

    -age clinical outcomes. Many atypical speech sound errors in preschoolers may be indicative of weak phonological Outcomes in Children With Histories of Speech Sound Disorders Jonathan L. Preston,a,b Margaret Hull disorders (SSDs) predict articulation and phonological awareness (PA) outcomes almost 4 years later. Method

  3. Dept. for Speech, Music and Hearing Quarterly Progress and

    E-Print Network [OSTI]

    Carlson, Rolf

    for different text materials Carlson, R. and Granstrom, B. journal: STL-QPSR volume: 30 number: 1 year: 1989 FOR DIFFERENTTEXT MATERIALS Rolf Carlson and Bjorn Granstrom * Dept. of Speech Communicationand Music Acoustics, KTH are also used in ow speech synthesisproject (Carlson, Granstrom, & Hunnicutt, 1982).This gives us

  4. Dept. for Speech, Music and Hearing Quarterly Progress and

    E-Print Network [OSTI]

    Carlson, Rolf

    -to-speech system for the disabled Carlson, R. and Granstrom, B. and Helgason, P. and Jensen, P. and Thrainsson, H-QPSR411990 AN ICELANDIC TEXT-TO-SPEECH SYSTEM FOR THE DISABLED* Rolf Carlson,Bjorn Granstrom,Petlir Helgason is based on the KTH multi-lingual system (Carlson, Granstrom, & Hunnicutt, 1982; 1990) and uses the Infovox

  5. AUDIO-VISUAL ISOLATED DIGIT RECOGNITION FOR WHISPERED SPEECH

    E-Print Network [OSTI]

    Busso, Carlos

    .L. Hansen Center for Robust Speech Systems(CRSS) University of Texas at Dallas, Richardson, Texas 75083 xxf circum- stances to protect personal privacy. Due to the absence of periodic excitation in the production. Therefore, performance of speech recognition systems trained with high energy voiced phonemes, degrades

  6. Reading Arendt in Iran/Reading Iran through Arendt: Speech,

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    Reading Arendt in Iran/Reading Iran through Arendt: Speech, Action, and the Question Arendt in Iran/Reading Iran through Arendt: Speech, Action, and the Question of Street Politics for Arendt readers in the postrevolutionary context of the Islamic Republic of Iran. Arendt's skepticism

  7. Speech Recognition in a Smart Home: Some Experiments for Telemonitoring

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Speech Recognition in a Smart Home: Some Experiments for Telemonitoring Michel Vacher, No Guirand microphones were placed in the Health Smart Home of Grenoble (named HIS, a real living flat of 47m2. Noise Suppression; Smart Home, Speech Recognition; Telemonitoring (key words) I. INTRODUCTION

  8. energy.gov -Speeches (Print Version) Tuesday, February 4, 2003 http://www.energy.gov/HQDocs/speeches/2003/febss/

    E-Print Network [OSTI]

    threats, and we have reduced the risk of accidents in nuclear fuel cycle facilities worldwide. Thanksenergy.gov - Speeches (Print Version) Tuesday, February 4, 2003 http://www.energy.gov/HQDocs/speeches/2003/febss/ 04BudgetPressConferenceRemarks_v.html Page: 1 Press Conference Remarks Energy Secretary

  9. Improved Speech Presence Probabilities Using HMM-Based Inference, with Applications to

    E-Print Network [OSTI]

    Alwan, Abeer

    applied to soft-decision speech enhancement, proposed SPPs show improved results in terms of segmental is increased. When applied to automatic speech recognition (ASR), the use of soft-decision enhancement with pro Probability, Noise Suppression, Soft-Decision Speech Enhancement, Automatic Speech Recogni- tion, Hidden

  10. Modulation-domain Kalman filtering for single-channel speech enhancement

    E-Print Network [OSTI]

    Modulation-domain Kalman filtering for single-channel speech enhancement Stephen So , Kuldip K-term correlation speech information in the time domain. As a result, the MDKF method produces enhanced speech speech parameters) outperforms all the acoustic and time-domain enhancement methods that were evaluated

  11. The Effect of the Additivity Assumption on Time and Frequency Domain Wiener Filtering for Speech Enhancement

    E-Print Network [OSTI]

    under short-time analysis typi- cally used for speech enhancement. In order to achieve this we have performed speech enhancement experiments, where speech corrupted by additive white Gaussian noise degradation of enhanced speech quality. Informal listening tests show that the background noise resulting from

  12. Signal Processing 86 (2006) 698709 Speech spectral modeling and enhancement based on

    E-Print Network [OSTI]

    Cohen, Israel

    Signal Processing 86 (2006) 698­709 Speech spectral modeling and enhancement based In this paper, we develop and evaluate speech enhancement algorithms, which are based on supergaussian method. r 2005 Published by Elsevier B.V. Keywords: Speech enhancement; Speech modeling; GARCH; Time

  13. BAYESIAN SINGLE CHANNEL SPEECH ENHANCEMENT EXPLOITING SPARSENESS IN THE ICA DOMAIN

    E-Print Network [OSTI]

    Maryland at College Park, University of

    BAYESIAN SINGLE CHANNEL SPEECH ENHANCEMENT EXPLOITING SPARSENESS IN THE ICA DOMAIN Liang Hong We propose a Bayesian single channel speech enhance- ment algorithm to exploit speech sparseness, further used to estimate enhanced speech in the time domain, and (2) ICA domain transformation of data

  14. Combining Missing-Feature Theory, Speech Enhancement, and Speaker-Dependent/-Independent Modeling

    E-Print Network [OSTI]

    Hazen, Timothy J.

    Combining Missing-Feature Theory, Speech Enhancement, and Speaker-Dependent/-Independent Modeling a missing-feature approach for improving crosstalk/noise robustness, a Wiener filter for speech enhancement to speech enhancement. One approach assumes the availability of single-channel data (i.e., the speech

  15. Objective Intelligibility Prediction of Speech by Combining Correlation and Distortion based Techniques

    E-Print Network [OSTI]

    of these techniques has not been found satisfactory for measuring the speech intelligibility of speech enhancement of speech enhancement. We then propose to com- bine these correlation-based techniques with spectral enhancement, correlation-based techniques, spectral distance-based techniques. 1. Introduction In speech

  16. Available online at www.sciencedirect.com Computer Speech and Language 28 (2014) 607618

    E-Print Network [OSTI]

    Beskow, Jonas

    Gurk and MacDonald, 1976). In acoustically adverse conditions, visible speech enhances speech comprehension and Language 28 (2014) 607­618 This audiovisual speech enhancement effect is particularly important for peopleAvailable online at www.sciencedirect.com Computer Speech and Language 28 (2014) 607­618 Animated

  17. Speech enhancement with multichannel Wiener filter techniques in multimicrophone binaural hearing aids

    E-Print Network [OSTI]

    Speech enhancement with multichannel Wiener filter techniques in multimicrophone binaural hearing October 2008 This paper evaluates speech enhancement in binaural multimicrophone hearing aids by noise in terms of speech enhancement while preserving the binaural cues of the speech component. b A significant

  18. Dartmouth College Computer Science Technical Report TR2004-503 Enhancing Expressiveness of Speech

    E-Print Network [OSTI]

    Dartmouth College Computer Science Technical Report TR2004-503 Enhancing Expressiveness of Speech for expressiveness. When text is entered into the program, the Festival Text-to-Speech engine creates a speech file be obtained for speech dictated into a microphone using Microsoft SAPI and the CSLU Toolkit. Once lip

  19. Suppressing the influence of additive noise on the Kalman gain for low residual noise speech enhancement

    E-Print Network [OSTI]

    present a detailed analysis of the Kalman filter for the application of speech enhancement and identify: Kalman filtering; Speech enhancement; Linear prediction; Dolph-Chebycher windows 1. Introduction In the problem of speech enhancement, where a speech signal corrupted by noise is given, we are primarily

  20. S12.9Constrained Iterative Speech Enhance with Application to

    E-Print Network [OSTI]

    Texas at Dallas, University of

    S12.9Constrained Iterative Speech Enhance with Application to Automatic Speech Recognition John H Atlanta, GA 30332 set of iterative speech enhancement techniques employing spec- ral constraints. FinalIy, the enhancement algorithms are evaluated to determine their ability as preproces- and speech

  1. A SPEECH PREPROCESSING STRATEGY FOR INTELLIGIBILITY IMPROVEMENT IN NOISE BASED ON A PERCEPTUAL DISTORTION MEASURE

    E-Print Network [OSTI]

    speech energy. Index Terms-- Near-end speech enhancement, intelligibility improvement, transients 1A SPEECH PREPROCESSING STRATEGY FOR INTELLIGIBILITY IMPROVEMENT IN NOISE BASED ON A PERCEPTUAL.h.taal, r.c.hendriks, r.heusdens}@tudelft.nl ABSTRACT A speech pre-processing algorithm is presented

  2. A SIMPLE CORRELATION-BASED MODEL OF INTELLIGIBILITY FOR NONLINEAR SPEECH ENHANCEMENT AND SEPARATION

    E-Print Network [OSTI]

    Ellis, Dan

    A SIMPLE CORRELATION-BASED MODEL OF INTELLIGIBILITY FOR NONLINEAR SPEECH ENHANCEMENT AND SEPARATION of highly nonlinear speech enhancement techniques, we contend that SNR is not useful; instead we propose of such systems. 1. INTRODUCTION Speech enhancement concerns taking a target speech signal that has been corrupted

  3. Speech enhancement using a minimum mean-square error short-time spectral modulation magnitude estimator

    E-Print Network [OSTI]

    Speech enhancement using a minimum mean-square error short-time spectral modulation magnitude In this paper we investigate the enhancement of speech by applying MMSE short-time spectral magnitude estimation on the quality of enhanced speech, and find that this method works better with speech uncertainty. Finally we

  4. ON MUTUAL INFORMATION AS A MEASURE OF SPEECH INTELLIGIBILITY Jalal Taghia, Rainer Martin

    E-Print Network [OSTI]

    -- Intelligibility prediction, mutual information, speech enhancement 1. INTRODUCTION Speech enhancement algorithmsON MUTUAL INFORMATION AS A MEASURE OF SPEECH INTELLIGIBILITY Jalal Taghia, Rainer Martin Ruhr, The Netherlands {R.C.Hendriks}@tudelft.nl ABSTRACT Speech intelligibility prediction of noisy and processed noisy

  5. 6.542J / 24.966J / HST.712J Laboratory on the Physiology, Acoustics, and Perception of Speech, Fall 2001

    E-Print Network [OSTI]

    Stevens, Kenneth N., 1924-

    Experimental investigations of speech processes. Topics: measurement of articulatory movements; measurements of pressures and airflows in speech production; computer-aided waveform analysis and spectral analysis of speech; ...

  6. Harvesting and summarizing user-generated content for advanced speech-based human-computer interaction

    E-Print Network [OSTI]

    Liu, Jingjing, Ph. D. Massachusetts Institute of Technology

    2012-01-01T23:59:59.000Z

    There have been many assistant applications on mobile devices, which could help people obtain rich Web content such as user-generated data (e.g., reviews, posts, blogs, and tweets). However, online communities and social ...

  7. IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 11, NO. 5, SEPTEMBER 2003 435 Cepstrum-Domain Acoustic Feature Compensation

    E-Print Network [OSTI]

    Rose, Richard

    speech and noise that were originally developed for noisy speech enhancement. This approach is applied of the minimum mean squared error log spectral amplitude (MMSE-LSA) estimator based speech enhancement algorithm, cepstrum com- pensation, noise-robust front-end, speech enhancement, speech recognition. I. INTRODUCTION

  8. Proc. ICASSP2003, Volume II, pages 205-208 205 CO-CHANNEL SPEAKER IDENTIFICATION USING USABLE SPEECH EXTRACTION

    E-Print Network [OSTI]

    Wang, DeLiang "Leon"

    aiming to extract one of the speakers from co-channel speech by enhancing target speech or suppressing and quality of extracted speech are not as important as in traditional co-channel speech enhancement systems SPEECH EXTRACTION BASED ON MULTI-PITCH TRACKING Yang Shao and DeLiang Wang Department of Computer

  9. Real time speech formant analyzer and display

    DOE Patents [OSTI]

    Holland, George E. (Ames, IA); Struve, Walter S. (Ames, IA); Homer, John F. (Ames, IA)

    1987-01-01T23:59:59.000Z

    A speech analyzer for interpretation of sound includes a sound input which converts the sound into a signal representing the sound. The signal is passed through a plurality of frequency pass filters to derive a plurality of frequency formants. These formants are converted to voltage signals by frequency-to-voltage converters and then are prepared for visual display in continuous real time. Parameters from the inputted sound are also derived and displayed. The display may then be interpreted by the user. The preferred embodiment includes a microprocessor which is interfaced with a television set for displaying of the sound formants. The microprocessor software enables the sound analyzer to present a variety of display modes for interpretive and therapeutic used by the user.

  10. Real time speech formant analyzer and display

    DOE Patents [OSTI]

    Holland, G.E.; Struve, W.S.; Homer, J.F.

    1987-02-03T23:59:59.000Z

    A speech analyzer for interpretation of sound includes a sound input which converts the sound into a signal representing the sound. The signal is passed through a plurality of frequency pass filters to derive a plurality of frequency formants. These formants are converted to voltage signals by frequency-to-voltage converters and then are prepared for visual display in continuous real time. Parameters from the inputted sound are also derived and displayed. The display may then be interpreted by the user. The preferred embodiment includes a microprocessor which is interfaced with a television set for displaying of the sound formants. The microprocessor software enables the sound analyzer to present a variety of display modes for interpretive and therapeutic used by the user. 19 figs.

  11. The Unsupervised Acquisition of a Lexicon from Continuous Speech

    E-Print Network [OSTI]

    Marcken, Carl de

    1996-01-18T23:59:59.000Z

    We present an unsupervised learning algorithm that acquires a natural-language lexicon from raw speech. The algorithm is based on the optimal encoding of symbol sequences in an MDL framework, and uses a hierarchical ...

  12. Executive control in speech comprehension: bilingual dichotic listening studies

    E-Print Network [OSTI]

    Miura, Takayuki

    2014-07-01T23:59:59.000Z

    In this dissertation, the traditional dichotic listening paradigm was integrated with the notion of working memory capacity (WMC) to explore the cognitive mechanism of bilingual speech comprehension at the passage level. ...

  13. Modelling pitch accents for concept-to-speech synthesis.

    E-Print Network [OSTI]

    Clark, Robert A J

    2003-01-01T23:59:59.000Z

    This paper addresses the problem of generating a full range of appropriate intonation contours for concept-to-speech synthesis systems where there is a specific requirement to produce different semantic meanings and ...

  14. Using statistical models to predict phrase boundaries for speech synthesis.

    E-Print Network [OSTI]

    Sanders, Eric; Taylor, Paul A

    1995-01-01T23:59:59.000Z

    This paper describes a variety of methods for inserting phrase boundaries in text. The methods work by examining the likelihood of a phrase break occurring in a sequence of three part-of-speech tags. The paper explains ...

  15. Detection of Phonological Features in Continuous Speech using Neural Networks

    E-Print Network [OSTI]

    King, Simon; Taylor, Paul

    We report work on the first component of a two stage speech recognition architecture based on phonological features rather than phones. The paper reports experimentson three phonological feature systems: 1) the Sound Pattern ...

  16. Assigning phrase breaks from part-of-speech sequences.

    E-Print Network [OSTI]

    Black, Alan W; Taylor, Paul A

    1997-01-01T23:59:59.000Z

    One of the important stages in the process of turning unmarked text into speech is the assignment of appropriate phrase break boundaries. Phrase break boundaries are important to later modules including accent ...

  17. Objective Distance Measures for Spectral Discontinuities in Concatenative Speech Synthesis

    E-Print Network [OSTI]

    Vepa, Jithendra; Taylor, Paul

    In unit selection based concatenative speech systems, join cost, which measures how well two units can be joined together, is one of the main criteria for selecting appropriate units from the inventory. The ideal join cost ...

  18. Feature-based pronunciation modeling for automatic speech recognition

    E-Print Network [OSTI]

    Livescu, Karen, 1975-

    2005-01-01T23:59:59.000Z

    Spoken language, especially conversational speech, is characterized by great variability in word pronunciation, including many variants that differ grossly from dictionary prototypes. This is one factor in the poor performance ...

  19. Classification of Fricative Consonants for Speech Enhancement in Hearing Devices

    E-Print Network [OSTI]

    Kong, Ying-Yee; Mullangi, Ala; Kokkinakis, Kostas

    2014-04-18T23:59:59.000Z

    and in noise could be achieved using only spectral features extracted from a short time window. Results of this work have a direct impact on the development of speech enhancement algorithms for hearing devices....

  20. Large-margin Gaussian mixture modeling for automatic speech recognition

    E-Print Network [OSTI]

    Chang, Hung-An, Ph. D. Massachusetts Institute of Technology

    2008-01-01T23:59:59.000Z

    Discriminative training for acoustic models has been widely studied to improve the performance of automatic speech recognition systems. To enhance the generalization ability of discriminatively trained models, a large-margin ...

  1. Spontaneous speech recognition using visual context-aware language models

    E-Print Network [OSTI]

    Mukherjee, Niloy, 1978-

    2003-01-01T23:59:59.000Z

    The thesis presents a novel situationally-aware multimodal spoken language system called Fuse that performs speech understanding for visual object selection. An experimental task was created in which people were asked to ...

  2. Variable rate CELP speech coding using widely variable parameter updates

    E-Print Network [OSTI]

    Moodie, Myron L.

    1995-01-01T23:59:59.000Z

    bit rates for a given quality level. This work develops new techniques, referred to as widely variable CELP parameter updates, which dynamically adapt the transmit frequency of the CELP spectral parameters to the characteristics of the input speech...

  3. The AMI System for the Transcription of Speech in Meetings

    E-Print Network [OSTI]

    Hain, Thomas; Burget, Lukas; Dines, John; Garau, Giulia; Wan, Vincent; Karafiat, Martin; Vepa, Jithendra; Lincoln, Michael

    2007-01-01T23:59:59.000Z

    This paper describes the AMI transcription system for speech in meetings developed in collaboration by five research groups. The system includes generic techniques such as discriminative and speaker adaptive training, ...

  4. Confidence measures for hybrid HMM/ANN speech recognition.

    E-Print Network [OSTI]

    Williams, Gethin; Renals, Steve

    1997-01-01T23:59:59.000Z

    In this paper we introduce four acoustic confidence measures which are derived from the output of a hybrid HMM/ANN large vocabulary continuous speech recognition system. These confidence measures, based on local posterior probability estimates...

  5. Dept. for Speech, Music and Hearing Quarterly Progress and

    E-Print Network [OSTI]

    Carlson, Rolf

    produced and distributed synthetic speech Hampshire, B. and Ruden, J. and Carlson, R. and Granstrom, B. Carlson, and B. Granstrom Abstract The purpose of this project was to illuminate new information

  6. Evaluating speech synthesis intelligibility using Amazon Mechanical Turk

    E-Print Network [OSTI]

    Wolters, Maria K.; Isaac, Karl B.; Renals, Steve

    2010-01-01T23:59:59.000Z

    Microtask platforms such as Amazon Mechanical Turk (AMT) are increasingly used to create speech and language resources. AMT in particular allows researchers to quickly recruit a large number of fairly demographically diverse ...

  7. 260 IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 22, NO. 1, JANUARY 2014 Distributed Delay and Sum Beamformer for Speech

    E-Print Network [OSTI]

    Distributed Delay and Sum Beamformer for Speech Enhancement via Randomized Gossip Yuan Zeng and Richard C speech enhancement methods from literature, assuming that the steering vector is given. In the simulated--Distributed delay and sum beamformer, ran- domized gossip, speech enhancement, wireless acoustic sensor networks. I

  8. Submitted to EUROSPEECH 2003, September 1-4, 2003 -Geneva, Switzerland Enhancement of Noisy Speech for Noise Robust Front-End and Speech

    E-Print Network [OSTI]

    Wichmann, Felix

    Submitted to EUROSPEECH 2003, September 1-4, 2003 - Geneva, Switzerland Enhancement of Noisy Speech enhancement method for noise ro- bust front-end and speech reconstruction at the back-end of Dis- tributed. 2. Noise robust front-end algorithm The speech enhancement methods in combination with feature

  9. IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 12, NO. 6, NOVEMBER 2004 561 Speech Enhancement Based on the General Transfer

    E-Print Network [OSTI]

    Cohen, Israel

    , and Israel Cohen, Senior Member, IEEE Abstract--In speech enhancement applications microphone array on single-channel speech enhancers and making use of recently proposed algorithms concatenated to the beamformer output. The third is a multichannel speech enhancer which exploits noise-only components

  10. Using DEDICOM for completely unsupervised part-of-speech tagging.

    SciTech Connect (OSTI)

    Chew, Peter A.; Bader, Brett William; Rozovskaya, Alla (University of Illinois, Urbana, IL)

    2009-02-01T23:59:59.000Z

    A standard and widespread approach to part-of-speech tagging is based on Hidden Markov Models (HMMs). An alternative approach, pioneered by Schuetze (1993), induces parts of speech from scratch using singular value decomposition (SVD). We introduce DEDICOM as an alternative to SVD for part-of-speech induction. DEDICOM retains the advantages of SVD in that it is completely unsupervised: no prior knowledge is required to induce either the tagset or the associations of terms with tags. However, unlike SVD, it is also fully compatible with the HMM framework, in that it can be used to estimate emission- and transition-probability matrices which can then be used as the input for an HMM. We apply the DEDICOM method to the CONLL corpus (CONLL 2000) and compare the output of DEDICOM to the part-of-speech tags given in the corpus, and find that the correlation (almost 0.5) is quite high. Using DEDICOM, we also estimate part-of-speech ambiguity for each term, and find that these estimates correlate highly with part-of-speech ambiguity as measured in the original corpus (around 0.88). Finally, we show how the output of DEDICOM can be evaluated and compared against the more familiar output of supervised HMM-based tagging.

  11. What information is necessary for speech categorization? Harnessing variability in the speech signal by integrating cues computed relative to expectations

    E-Print Network [OSTI]

    McMurray, Bob; Jongman, Allard

    2011-04-01T23:59:59.000Z

    ) and quantal theory (Stevens, 2002; Stevens & Keyser, 2010) posit invariant cues for some phonetic distinctions (cf., Sussman, Fruchter, Hilbert& Sirosh, 1998). Other approaches such as the version of exemplar theory posited in speech explicitly claim...

  12. Home News Products Blogs Buyers Guide Whitepapers Job Search Events Subscribe Issue Archive Topic Center: Email Security Compliance Patch Management Financial Services Health Care Retail RSS | Login | Register

    E-Print Network [OSTI]

    Gupta, Minaxi

    search for and then compromise vulnerable websites, hundreds of thousands of pages ­ almost all of themSEARCH Home News Products Blogs Buyers Guide Whitepapers Job Search Events Subscribe Issue Archive FONT SIZE: A | A | A Protecting users from internet-borne threats falls on trusted websites, says

  13. Home News Products Blogs Buyers Guide Whitepapers Jobs Events Subscribe Issue Archive Topic Center: Email Security Compliance Patch Management Financial Services Health care RSA 2008 RSS | Login | Register

    E-Print Network [OSTI]

    Gupta, Minaxi

    SEARCH Home News Products Blogs Buyers Guide Whitepapers Jobs Events Subscribe Issue Archive Topic located the malicious files, mostly MP3 or AVI in format, on popular peer-to- peer (P2P) websites appear when users employ certain terms when searching for music and video, he said. Once the files

  14. SearchHome Video News Images Health Education Topics Blogs Mobile Space Science Technology Health General Sci-Fi & Gaming Oddities International Business Education Mars Science Laboratory Curiosity

    E-Print Network [OSTI]

    Nieh, James

    SearchHome Video News Images Health Education Topics Blogs Mobile Space Science Technology Health the Video: Stingless Bees Fight Over Food Source ] April Flowers for redOrbit.com Your Universe Online Dancing Bees Show Researchers The Way To The Best Environmental Schemes UK Honeybees Threatened

  15. Blind dereverberation of speech from moving and stationary speakers using sequential Monte Carlo methods

    E-Print Network [OSTI]

    Evers, Christine

    2010-01-01T23:59:59.000Z

    Speech signals radiated in confined spaces are subject to reverberation due to reflections of surrounding walls and obstacles. Reverberation leads to severe degradation of speech intelligibility and can be prohibitive ...

  16. Unsupervised modeling of latent topics and lexical units in speech audio

    E-Print Network [OSTI]

    Harwath, David F. (David Frank)

    2013-01-01T23:59:59.000Z

    Zero-resource speech processing involves the automatic analysis of a collection of speech data in a completely unsupervised fashion without the benefit of any transcriptions or annotations of the data. In this thesis, we ...

  17. An online system for entering and annotating non-native Mandarin Chinese speech for language teaching

    E-Print Network [OSTI]

    Hawksley, Andrea Johanna

    2008-01-01T23:59:59.000Z

    This thesis describes the design and implementation of an intuitive online system for the annotation of non-native Mandarin Chinese speech by native Chinese speakers. This system will allow speech recognition researchers ...

  18. Interactions of caregiver speech and early word learning in the Speechome corpus : computational explorations

    E-Print Network [OSTI]

    Vosoughi, Soroush

    2010-01-01T23:59:59.000Z

    How do characteristics of caregiver speech contribute to a child's early word learning? What is the relationship between a child's language development and caregivers' speech? Motivated by these general questions, this ...

  19. Linguistically-motivated sub-word modeling with applications to speech recognition

    E-Print Network [OSTI]

    Choueiter, Ghinwa F., 1980-

    2009-01-01T23:59:59.000Z

    Despite the proliferation of speech-enabled applications and devices, speech-driven human-machine interaction still faces several challenges. One of theses issues is the new word or the out-of-vocabulary (OOV) problem, ...

  20. Hadins Laboratories Status &port on. Speech Research 1991, SR107/108, 147170

    E-Print Network [OSTI]

    appeared previously in Repp (1989). 147 When an extraneous sound, such as a cough, was present, listeners claimed to hear the speech as intact and could not localize the cough (or the speech sound masked by it

  1. SPEECH-CODING AND TRAINING-INDUCED PLASTICITY IN AUDITORY CORTEX OF NORMAL AND DYSLEXIA

    E-Print Network [OSTI]

    Kilgard, Michael P.

    SPEECH-CODING AND TRAINING-INDUCED PLASTICITY IN AUDITORY CORTEX OF NORMAL AND DYSLEXIA MODEL RATS anymore... #12;SPEECH-CODING AND TRAINING-INDUCED PLASTICITY IN AUDITORY CORTEX OF NORMAL AND DYSLEXIA

  2. Speech motor control variables in the production of voicing contrasts and emphatic accent

    E-Print Network [OSTI]

    Mills, Timothy Ian Pandachuck

    2009-11-26T23:59:59.000Z

    This dissertation looks at motor control in speech production. Two specific questions emerging from the speech motor control literature are studied: the question of articulatory versus acoustic motor control targets, and ...

  3. Articulatory Control of HMM-based Parametric Speech Synthesis Driven by Phonetic Knowledge

    E-Print Network [OSTI]

    Ling, Zhenhua; Richmond, Korin; Yamagishi, Junichi; Wang, Ren-Hua

    2008-01-01T23:59:59.000Z

    This paper presents a method to control the characteristics of synthetic speech flexibly by integrating articulatory features into a Hidden Markov Model (HMM)-based parametric speech synthesis system. In contrast to model ...

  4. FMRI studies of effects of hearing status on audio-visual speech perception

    E-Print Network [OSTI]

    Yoo, Julie J

    2007-01-01T23:59:59.000Z

    The overall goal of this research is to acquire a more complete picture of the neurological processes of visual influences on speech perception and to investigate effects of hearing status on AV speech perception. More ...

  5. Microphone array processing for speech : dual channel localization, robust beamforming, and ICA analysis

    E-Print Network [OSTI]

    Zhang, Wenyi

    2010-01-01T23:59:59.000Z

    thesis contributes to many aspects of microphone array based speech pro- cessing; robust beamforming algorithms, insights into blind

  6. HaslUru Labomtoria Statu. Report on Speech Re~ 1992, SR109/110, 112

    E-Print Network [OSTI]

    HaslUru Labomtoria Statu. Report on Speech Re~ 1992, SR·109/110, 1·12 Phonological and Articulatory

  7. Behavioral/Systems/Cognitive Aging Affects Neural Precision of Speech Encoding

    E-Print Network [OSTI]

    ; Hughes et al., 2010; Juarez- Salinas et al., 2010) of aging animals. Speech is temporally dynamic (Lied

  8. Hindawi Publishing Corporation EURASIP Journal on Audio, Speech, and Music Processing

    E-Print Network [OSTI]

    Beskow, Jonas

    orn Granstrom KTH, School of Computer Science and Communication, Deptarment for Speech, Music, and Hearing

  9. audio-visual speech cue: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    visual features, which will be simultaneously displayed on the speechreader's eyeglasses. These acoustic Carreira-Perpin, Miguel . 211 Facilitating Speech...

  10. Blind Source Separation 2 Understanding Two Simultaneous Speeches by Blind Source Separation

    E-Print Network [OSTI]

    Ikeda, Shiro

    Blind Source Separation 2 Understanding Two Simultaneous Speeches by Blind Source Separation) to segregate speech streams from a mixture of sounds, while the other ex- ploits Blind Source Separation the performance of Blind Source Separation by using the same three benchmarks of 500 mix- ture of two speeches

  11. Musicians have enhanced subcortical auditory and audiovisual processing of speech and music

    E-Print Network [OSTI]

    Musicians have enhanced subcortical auditory and audiovisual processing of speech and music that such modifications extend to subcortical sensory struc- tures and generalize to processing of speech. Musicians had earlier and larger brainstem responses than nonmusician controls to both speech and music stimuli

  12. MULTIZONE NEAR-END SPEECH ENHANCEMENT UNDER OPTIMAL SECOND-ORDER MAGNITUDE DISTORTION

    E-Print Network [OSTI]

    MULTIZONE NEAR-END SPEECH ENHANCEMENT UNDER OPTIMAL SECOND-ORDER MAGNITUDE DISTORTION Jo~ao B.c.hendriks@tudelft.nl ABSTRACT In this article, we address near-end speech enhancement for a sce- nario where there are several-end speech enhancement, multizone, second-order magnitude distortion, public address system 1. INTRODUCTION

  13. Available online at www.sciencedirect.com Computer Speech and Language 28 (2014) 665686

    E-Print Network [OSTI]

    Edinburgh, University of

    ­686 Intelligibility enhancement of HMM-generated speech in additive noise by modifying Mel cepstral coefficients intelligibility enhancement for Hidden Markov Model (HMM) generated synthetic speech in noise. We present a methodAvailable online at www.sciencedirect.com Computer Speech and Language 28 (2014) 665

  14. Intelligibility enhancement of HMM-generated speech in additive noise by modifying Mel cepstral coefficients to

    E-Print Network [OSTI]

    Edinburgh, University of

    Intelligibility enhancement of HMM-generated speech in additive noise by modifying Mel cepstral intelligibility enhancement for hidden Markov model (HMM) generated synthetic speech in noise. We present a method , Ranniery Maiab a The Centre for Speech Technology Research, University of Edinburgh, UK b Cambridge

  15. The importance of phase in speech enhancement Kuldip Paliwal, Kamil Wojcicki

    E-Print Network [OSTI]

    The importance of phase in speech enhancement Kuldip Paliwal, Kamil Wo´jcicki , Benjamin Shannon 1 Available online 24 December 2010 Abstract Typical speech enhancement methods, based on the short in the enhancement process the quality of the resulting speech can be improved. For this we use analysis windows

  16. Role of Phase Estimation in Speech Enhancement Benjamin J. Shannon and Kuldip K. Paliwal

    E-Print Network [OSTI]

    Role of Phase Estimation in Speech Enhancement Benjamin J. Shannon and Kuldip K. Paliwal School.Paliwal@griffith.edu.au Abstract Typical speech enhancement algorithms that operate in the Fourier domain only modify the magnitude investigate the role of the window function for STFT phase estimation in relation to speech enhancement. Using

  17. AN ITERATIVE SPATIO-TEMPORAL SPEECH ENHANCEMENT ALGORITHM FOR MICROPHONE ARRAYS

    E-Print Network [OSTI]

    Douglas, Scott C.

    AN ITERATIVE SPATIO-TEMPORAL SPEECH ENHANCEMENT ALGORITHM FOR MICROPHONE ARRAYS !"#"$ %&'t" "nd +c ABSTRACT We present a new spatio-temporal algorithm for speech enhancement using microphone arrays. Our-dependent parameter settings. Index Terms4 Speech enhancement, acoustic arrays, adaptive arrays, eigenvalues

  18. Speech Enhancement based on Smoothing of Spectral Noise HyoungGook Kim, Thomas Sikora

    E-Print Network [OSTI]

    Wichmann, Felix

    Speech Enhancement based on Smoothing of Spectral Noise Floor Hyoung­Gook Kim, Thomas Sikora presents robust speech enhancement using noise estimation based on smoothing of spectral noise floor (SNF for a nonstationary noise. Its enhanced speech is free of musical tones and reverberation artifacts and sounds very

  19. RSS-TOBI -A Prosodically Enhanced Romanian Speech Corpus Tiberiu Boro1

    E-Print Network [OSTI]

    Edinburgh, University of

    RSS-TOBI - A Prosodically Enhanced Romanian Speech Corpus Tiberiu Boro1 , Adriana Stan2 , Oliver", Bucharest, Romania 2 Speech Processing Group, Technical University of Cluj-Napoca, Romania 3 Centre for Speech Technology Research, University of Edinburgh, United Kingdom E-mail: tibi@racai.ro, adriana

  20. LOG-SPECTRAL AMPLITUDE ESTIMATION WITH GENERALIZED GAMMA DISTRIBUTIONS FOR SPEECH ENHANCEMENT

    E-Print Network [OSTI]

    Alwan, Abeer

    LOG-SPECTRAL AMPLITUDE ESTIMATION WITH GENERALIZED GAMMA DISTRIBUTIONS FOR SPEECH ENHANCEMENT Bengt enhancement. Generalized Gamma distributed (GGD) priors are assumed for speech short-time spectral amplitudes by Ephraim and Malah [2]. Index Terms-- Speech Enhancement, Log-spectral Amplitude Estimator, Generalized

  1. Can Objective Measures Predict the Intelligibility of Modified HMM-based Synthetic Speech in Noise?

    E-Print Network [OSTI]

    Edinburgh, University of

    as a control mechanism. It could act, for instance, to control the effect of speech enhancement algorithms by minimizing the generated audible distortions, or it could control speech modifi- cations designed to enhance to speech sig- nals that have been modified by such enhancement techniques. In previous studies we showed

  2. Musician Enhancement for Speech-In-Noise Alexandra Parbery-Clark,1,2

    E-Print Network [OSTI]

    Musician Enhancement for Speech-In-Noise Alexandra Parbery-Clark,1,2 Erika Skoe,1,2 Carrie Lam,1: Musical experience appears to enhance the ability to hear speech in challenging listening environments,2 and Nina Kraus1,2,3,4 Objective: To investigate the effect of musical training on speech-in- noise (SIN

  3. ADAPTIVE POSTFILTERING FOR ENHANCEMENT OF NOISY SPEECH IN THE FREQUENCY DOMAIN

    E-Print Network [OSTI]

    Kabal, Peter

    ADAPTIVE POSTFILTERING FOR ENHANCEMENT OF NOISY SPEECH IN THE FREQUENCY DOMAIN Peter Kabal ' j 2 for enhancement of noisy speech. The postfilter suppresses the noise in spectral valleys and allows more noise that this new frequency-domain approach results in enhanced speech of better perceptual quality than obtained

  4. COUPLED DICTIONARY TRAINING FOR EXEMPLAR-BASED SPEECH ENHANCEMENT Deepak Baby Tuomas Virtanen

    E-Print Network [OSTI]

    Virtanen, Tuomas

    COUPLED DICTIONARY TRAINING FOR EXEMPLAR-BASED SPEECH ENHANCEMENT Deepak Baby Tuomas Virtanen Tom.Barker}@tut.fi ABSTRACT In exemplar-based speech enhancement systems, lower dimen- sional features are preferred over of modulation envelope features for the exemplar-based speech enhancement. Index Terms-- Non-negative matrix

  5. Visual Speech in Technology-Enhanced Learning Department of Computer Science

    E-Print Network [OSTI]

    Maddock, Steve

    Visual Speech in Technology-Enhanced Learning Priya Dey Department of Computer Science University- enhanced learning. This work applies talking heads in a speech tutoring application for teaching English of visual speech in technology-enhanced learning. User trials explored the efficacy of the software

  6. Combining missing-feature theory, speech enhancement, and speaker-dependent/-independent modeling

    E-Print Network [OSTI]

    Glass, James R.

    Combining missing-feature theory, speech enhancement, and speaker-dependent/-independent modeling a missing-feature approach for improving crosstalk/noise robustness, a Wiener filter for speech enhancement enhancement; Speaker modeling; Speech recognition; Missing-feature theory; Posterior union model 1

  7. MULTI-CHANNEL PSYCHOACOUSTICALLY MOTIVATED SPEECH ENHANCEMENT Justinian Rosca, Radu Balan

    E-Print Network [OSTI]

    Maryland at College Park, University of

    MULTI-CHANNEL PSYCHOACOUSTICALLY MOTIVATED SPEECH ENHANCEMENT Justinian Rosca, Radu Balan Siemens). Research in microphone-array systems indi- cate the promise of such techniques for speech enhancement approach ex- ploits the microphone array signals to further enhance the useful speech signal at reduced

  8. IEEE SIGNAL PROCESSING LETTERS, VOL. 11, NO. 9, SEPTEMBER 2004 725 Speech Enhancement Using a Noncausal

    E-Print Network [OSTI]

    Cohen, Israel

    IEEE SIGNAL PROCESSING LETTERS, VOL. 11, NO. 9, SEPTEMBER 2004 725 Speech Enhancement Using--Parameter estimation, speech enhancement, time- frequency analysis. I. INTRODUCTION AN IMPORTANT parameter of numerous. However, the performance of the corresponding speech enhancement algorithm, compared with that resulting

  9. REAL-TIME DUAL-MICROPHONE SPEECH ENHANCEMENT USING FIELD PROGRAMMABLE GATE ARRAYS

    E-Print Network [OSTI]

    Sheikholeslami, Ali

    REAL-TIME DUAL-MICROPHONE SPEECH ENHANCEMENT USING FIELD PROGRAMMABLE GATE ARRAYS David Halupka@eecg}.toronto.edu ABSTRACT This paper discusses an implementation of a dual- microphone phase-based speech enhancement or irrelevant conversations, are present has fueled research interest in the areas of speech enhancement

  10. Effect of Compressing the Dynamic Range of the Power Spectrum in Modulation Filtering Based Speech Enhancement

    E-Print Network [OSTI]

    .paliwal@griffith.edu.au Abstract In the modulation-filtering based speech enhancement method, noise suppression is achieved systematically different dynamic range compression functions applied to the power spectrum for speech enhancement- gibility of the enhanced speech. The quality is measured objec- tively in terms of the Perceptual

  11. Single channel speech enhancement using MMSE estimation of short-time modulation magnitude spectrum

    E-Print Network [OSTI]

    Single channel speech enhancement using MMSE estimation of short-time modulation magnitude spectrum.wojcicki@gmail.com Abstract In this paper we investigate the enhancement of speech by ap- plying MMSE short-time spectral domain spectral subtraction. Index Terms: speech enhancement, MMSE short-time spectral magnitude

  12. ULTRASOUND-COUPLED SEMI-SUPERVISED NONNEGATIVE MATRIX FACTORISATION FOR SPEECH ENHANCEMENT

    E-Print Network [OSTI]

    Virtanen, Tuomas

    ULTRASOUND-COUPLED SEMI-SUPERVISED NONNEGATIVE MATRIX FACTORISATION FOR SPEECH ENHANCEMENT Tom speech enhancement tech- nique, whereby the incorporation of easily obtained Doppler-based ultrasound enhancement re- sults. Noisy speech mixtures were enhanced using semi-supervised nonnegative matrix

  13. Intelligibility-enhancing speech modifications: the Hurricane Challenge Martin Cooke1,2

    E-Print Network [OSTI]

    Edinburgh, University of

    Intelligibility-enhancing speech modifications: the Hurricane Challenge Martin Cooke1,2 , Catherine to enhance speech intelligibility. Eighteen systems operating on a common data set were subjected to ex interest in tackling what has been termed the `near-end' speech enhancement problem [7­15]. Consequently

  14. Single-channel speech enhancement using spectral subtraction in the short-time modulation domain

    E-Print Network [OSTI]

    Single-channel speech enhancement using spectral subtraction in the short-time modulation domain as an alternative to the acoustic domain for speech enhancement. More specif- ically, we wish to determine how. In this study, the effect of modulation frame duration on speech quality of the proposed enhancement method

  15. CONTENT-ADAPTIVE SPEECH ENHANCEMENT BY A SPARSELY-ACTIVATED DICTIONARY PLUS LOW RANK DECOMPOSITION

    E-Print Network [OSTI]

    Ellis, Dan

    CONTENT-ADAPTIVE SPEECH ENHANCEMENT BY A SPARSELY-ACTIVATED DICTIONARY PLUS LOW RANK DECOMPOSITION.papadopoulos[at]lss.supelec.fr dpwe[at]ee.columbia.edu ABSTRACT One powerful approach to speech enhancement employs strong models, we proposed a speech enhancement model that decomposes the spectrogram into sparse activation

  16. Edinburgh Research Explorer Intelligibility enhancement of HMM-generated speech in additive

    E-Print Network [OSTI]

    Edinburgh, University of

    Edinburgh Research Explorer Intelligibility enhancement of HMM-generated speech in additive noise enhancement of HMM- generated speech in additive noise by modifying Mel cepstral coefficients to increase claim. Download date: 15. Sep. 2014 #12;Intelligibility enhancement of HMM-generated speech in additive

  17. Noise Driven Short-Time Phase Spectrum Compensation Procedure for Speech Enhancement

    E-Print Network [OSTI]

    Noise Driven Short-Time Phase Spectrum Compensation Procedure for Speech Enhancement Anthony P.lyons, k.paliwal}@griffith.edu.au Abstract Typical speech enhancement algorithms operate on the short- time approach to speech enhancement has been proposed where the noisy mag- nitude spectrum is recombined

  18. Recent Advancements in Speech Enhancement Yariv Ephraim and Israel Cohen1

    E-Print Network [OSTI]

    Ephraim, Yariv

    Recent Advancements in Speech Enhancement Yariv Ephraim and Israel Cohen1 May 17, 2004 Abstract Speech enhancement is a long standing problem with numerous applications ranging from hearing aids, to coding and automatic recognition of speech signals. In this survey paper we focus on enhancement from

  19. ADAPTIVE SHORT-TIME ANALYSIS-SYNTHESIS FOR SPEECH ENHANCEMENT Prabahan Basu, Patrick J. Wolfe

    E-Print Network [OSTI]

    ADAPTIVE SHORT-TIME ANALYSIS-SYNTHESIS FOR SPEECH ENHANCEMENT Prabahan Basu, Patrick J. Wolfe a multiresolution short-time analysis method for speech enhancement. It is well known that fixed reso- lution-synthesis scheme for speech enhance- ment in which the adaptation is based on a measure of local time- frequency

  20. AUTOMATED LIP-READING FOR IMPROVED SPEECH INTELLIGIBILITY* Matthew McClain

    E-Print Network [OSTI]

    aspects of intelligibility that may be utilized in augmenting speech enhancement and coding applications in the area of speech enhancement utilizing visual features [2]. In this previous work, features extracted vocal tract transfer function of the speech. A perceptual test was used to characterize the enhancement

  1. Phoneme-dependent NMF for speech enhancement in monaural mixtures Bhiksha Raj1

    E-Print Network [OSTI]

    Virtanen, Tuomas

    Phoneme-dependent NMF for speech enhancement in monaural mixtures Bhiksha Raj1 , Rita Singh1, over conventional NMF-based separation. Index terms: Monaural signal separation, speech enhance- ment, Tampere, Finland. Abstract The problem of separating speech signals out of monaural mix- tures (with other

  2. Speech Enhancement Based on Spectral Estimation from Higher-lag Autocorrelation

    E-Print Network [OSTI]

    Speech Enhancement Based on Spectral Estimation from Higher-lag Autocorrelation Benjamin J. Shannon In this paper, we propose a unique approach to enhance speech signals that have been corrupted by non this technique the AR-HASE speech enhancement algorithm. In this initial study, we evaluate the performance

  3. Using STFT real and imaginary parts of modulation signals for MMSE-based speech enhancement

    E-Print Network [OSTI]

    Using STFT real and imaginary parts of modulation signals for MMSE-based speech enhancement Belinda an alternate, RI-modulation (R = real, I = imaginary) AMS framework for speech enhancement, in which the real-modification-synthesis (AMS); Speech enhancement; MMSE short-time spectral magnitude estimator; Mod- ulation spectrum

  4. P16: A distortion-weighted glimpse-based intelligibility metric for modified and synthetic speech

    E-Print Network [OSTI]

    Edinburgh, University of

    for speech enhancement in known noise conditions," in Proc. Interspeech, pp. 1636-1639. M. Cooke, C. Mayo, CP16: A distortion-weighted glimpse-based intelligibility metric for modified and synthetic speech Yan Tang1 and Martin Cooke2,1 Cassia Valentini-Botinhao3 1 Language and Speech Laboratory, University

  5. SIGNAL SUBSPACE SPEECH ENHANCEMENT WITH PERCEPTUAL POST-FILTERING Mark Klein and Peter Kabal

    E-Print Network [OSTI]

    Kabal, Peter

    SIGNAL SUBSPACE SPEECH ENHANCEMENT WITH PERCEPTUAL POST-FILTERING Mark Klein and Peter Kabal the enhanced speech spectra. By utilizing a perceptual filter, averaging is per- formed in a manner similar In most speech enhancement systems, musical noise can be at- tributed to errors in measuring noise

  6. Speech enhancement by low-rank and convolutive dictionary spectrogram decomposition

    E-Print Network [OSTI]

    Ellis, Dan

    Speech enhancement by low-rank and convolutive dictionary spectrogram decomposition Zhuo Chen1 Computer Science Institute, Berkeley, CA, USA zc2204@columbia.edu Abstract A successful speech enhancement, performance will suffer. In previous work, we proposed a speech enhance- ment framework based on decomposing

  7. Haskins Laboratories Status Report on Speech Research 1992, SR-111 /112,111-120

    E-Print Network [OSTI]

    enhancement: alteration of auditory feedback and modification of speech production. INTRODUCTION The finding to fluency enhancement only because it alters the speech production characteristics of stutterers. WingateHaskins Laboratories Status Report on Speech Research 1992, SR-111 /112,111-120 Effects

  8. On the Inversion of Mel-Frequency Cepstral Coefficients for Speech Enhancement Applications

    E-Print Network [OSTI]

    De Leon, Phillip

    On the Inversion of Mel-Frequency Cepstral Coefficients for Speech Enhancement Applications Laura E recognition system. The use of GMMs for speech enhancement applications has only recently been proposed present a means to invert MFCCs for use in speech enhancement applications. Results for cepstral inversion

  9. Mandarin Digital Speech Recognition Based on a Chaotic Neural Network and Fuzzy C-means Clustering

    E-Print Network [OSTI]

    Freeman, Walter J.

    performance than the hard k-means clustering. I. INTRODUCTION Digital speech recognition can be widely used of the feature vectors varies along with the lasting time of different digital speech. So, the k-means clustering the extracted features of ambiguous Mandarin digital speech in comparison with the k-means clustering algorithm

  10. Mel-Frequency Cepstral Coefficient-Based Bandwidth Extension of Narrowband Speech

    E-Print Network [OSTI]

    Kabal, Peter

    for the Bandwidth Extension (BWE) of narrowband speech. BWE is based on the assumption that narrowband speech (0 of the highband frequency content given the narrow band. While BWE schemes have traditionally used LP which the time-domain speech signal can be reconstructed. Implementing this scheme for BWE translates

  11. Segmentation of speech based on adaptive pitch prediction

    E-Print Network [OSTI]

    dega?rd, Jan Erik

    1990-01-01T23:59:59.000Z

    on periodicity tends to reduce prediction gain due to the frame/energy distribution, and therefore using the SNR as a measure of filter performance has to be evaluated in light of how well pitch peaks are removed in the speech signal. ACKNOWLEDGMENTS I wish.... Stability of LPC synthesis filters D. Pitch predictor II SPEECH SEGMENTATION 5 7 8 11 12 14 19 A. Derivation of Algorithms 1. Optimum and sub-optimum pitch analysis frame 2. Minimum deviation pitch frame estimation 3. Adaptive minimum deviation...

  12. Speech Enhancement of Spectral Magnitude Bin Trajectories using Gaussian Mixture-Model based Minimum Mean-Square Error Estimators

    E-Print Network [OSTI]

    Speech Enhancement of Spectral Magnitude Bin Trajectories using Gaussian Mixture-Model based mean-square error es- timators have been applied to speech enhancement in the tem- poral, transform (e estimator for 8 kHz telephone-quality speech. Index Terms: Speech enhancement, minimum mean-square er- ror

  13. A Brief Survey of Speech Enhancement1 Yariv Ephraim, Hanoch Lev-Ari and William J.J. Roberts 2

    E-Print Network [OSTI]

    Ephraim, Yariv

    A Brief Survey of Speech Enhancement1 Yariv Ephraim, Hanoch Lev-Ari and William J.J. Roberts 2 August 2, 2003 Abstract We present a brief overview of the speech enhancement problem for wide-band noise enhancement aims at improving the performance of speech communication systems in noisy environments. Speech

  14. ment of robust recognition in diverse environmental condi-tions through the formulation of a series of speech enhance

    E-Print Network [OSTI]

    Texas at Dallas, University of

    of a series of speech enhance Speech Recognition System ment and stress compensationpreprocessingalgorithms iterative speech enhancement [1,2]. Stress compensation al- gorithms are based on formant location, bandwidth, and in- tensity. Enhancement preprocessingincreases recognition by +34% for neutral speech, 18

  15. Frequency-domain criterion for the speech distortion weighted multichannel Wiener filter for robust noise reduction q

    E-Print Network [OSTI]

    systems. Therefore efficient speech enhancement techniques are called for. Since the desired speech signal and the undesired noise signal usually occupy overlapping frequency bands, sin- gle-microphone speech enhancement and the spatial characteristics of the sources can be used. Well-known multi-microphone speech enhancement

  16. IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 10, NO. 3, MARCH 2002 173 Particle Methods for Bayesian Modeling and

    E-Print Network [OSTI]

    Doucet, Arnaud

    for Bayesian Modeling and Enhancement of Speech Signals Jaco Vermaak, Christophe Andrieu, Arnaud Doucet with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution and real speech data sets. Index Terms--Particle filters, speech enhancement, time-varying autoregressive

  17. A NOVEL APPROACH TO SOFT-MASK ESTIMATION AND LOG-SPECTRAL ENHANCEMENT FOR ROBUST SPEECH RECOGNITION

    E-Print Network [OSTI]

    Alwan, Abeer

    A NOVEL APPROACH TO SOFT-MASK ESTIMATION AND LOG-SPECTRAL ENHANCEMENT FOR ROBUST SPEECH RECOGNITION-- Speech Recognition, Feature Extraction, Speech Enhancement, Mask Estimation, Median Filtering. 1 enhancement. Reliable SPPs provide clues about the spectro-temporal location of speech and are thus a highly

  18. IEEE SIGNAL PROCESSING LETTERS, VOL. 9, NO. 4, APRIL 2002 113 Optimal Speech Enhancement Under Signal Presence

    E-Print Network [OSTI]

    Cohen, Israel

    IEEE SIGNAL PROCESSING LETTERS, VOL. 9, NO. 4, APRIL 2002 113 Optimal Speech Enhancement Under of the enhanced speech. Index Terms--Estimation, spectral analysis, speech enhance- ment. I. INTRODUCTION RECENTLY, the use of a soft-decision gain modification in speech enhancement algorithms has been the object

  19. A Prototype Robot Speech Interface with Multimodal Feedback Mathias Haage+

    E-Print Network [OSTI]

    Nugues, Pierre

    of industrial robot arms. The aim of the prototype is to develop a speech system for designing robot trajectories that would fit well with current CAD paradigms. 1 Introduction Industrial robot programming developed for studying multimodal user interfaces in the context of industrial robot programming [5

  20. KALMAN FILTER WITH PHASE SPECTRUM COMPENSATION ALGORITHM FOR SPEECH ENHANCEMENT

    E-Print Network [OSTI]

    KALMAN FILTER WITH PHASE SPECTRUM COMPENSATION ALGORITHM FOR SPEECH ENHANCEMENT Stephen So, Kamil K.lyons, a.stark, k.paliwal}@griffith.edu.au ABSTRACT In this paper, we propose to combine the Kalman filter specifically, we apply the PSC tech- nique to initialise the Kalman filter, whereby PSC is used to clean

  1. Acoustic Modelling for Large Vocabulary Continuous Speech Recognition

    E-Print Network [OSTI]

    Young, Steve

    Acoustic Modelling for Large Vocabulary Continuous Speech Recognition Steve Young Engineering Dept probabilities is emphasised. Using this as a basis, two powerful methods are presented for dealing transforms to be robustly estimated using small amounts of adaptation data. Secondly, MMI training based

  2. Interactive Media Research & Speech Recognition: usable transcriptions of webcast lectures

    E-Print Network [OSTI]

    Penn, Gerald

    Modelling for Automatic Lecture Transcription. In Proceedings of the Tenth European Conference on Speech. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems - CHI ­ Workshop on Usable When it Isn't. In Proceedings of the Eight International Conference on Multimodal Interfaces - ICMI

  3. Kalman prediction in the CCITT standard for speech coding

    E-Print Network [OSTI]

    Hohl, William Adam

    1990-01-01T23:59:59.000Z

    be taken into a. ccount. Some of these issues were addressed already in Part A, In order to manage the trans- mission of non ? speech data, a dynamic locking quantizer (DLQ) was developed by Petr [14] to allow the coder to match the characteristics of a...

  4. Hierarchical Bayesian Language Models for Conversational Speech Recognition

    E-Print Network [OSTI]

    Huang, Songfang; Renals, Steve

    2010-01-01T23:59:59.000Z

    Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfitting of maximum-likelihood estimation and the lack of rich contextual...

  5. High-resolution speech signal reconstruction in Wireless Sensor Networks

    E-Print Network [OSTI]

    Gutierrez-Osuna, Ricardo

    High-resolution speech signal reconstruction in Wireless Sensor Networks Andria Pazarloglou, Radu With the recent growth of Wireless Sensor Networks (WSNs), many advanced application areas have received sig, rgutier}@cs.tamu.edu Abstract--Data streaming is an emerging class of applica- tions for sensor networks

  6. ccsd00004318, The Self-Organization of Speech Sounds

    E-Print Network [OSTI]

    Sony CSL Paris, 6, rue Amyot, 75005 Paris, France Abstract The speech code is a vehicle of language Email address: py@csl.sony.fr (Pierre-Yves Oudeyer). URL: www.csl.sony.fr/#24;py (Pierre-Yves Oudeyer

  7. Dept. for Speech, Music and Hearing Quarterly Progress and

    E-Print Network [OSTI]

    Carlson, Rolf

    synthesized templates Blomberg, M. and Carlson, R. and Elenius, K. O. E. and Granstrom, B. and Hunnicutt, S in the context of a speech recognition system (Blomberg, Carlson, Elenius, & Granstrom, 1984). Based on one channels (Carlson, Granstrom, & Hunnicutt, 1985).This makes it possible to use diverse analysis mechanisms

  8. The joke: a cognitive model of a speech genre

    E-Print Network [OSTI]

    Chubaryan, Tatyana

    1997-01-01T23:59:59.000Z

    become identified with the term genre (Leckey-Tarry 1995:12). Mikhail Bakhtin, who was the first to bring the concept as well as the term speech genre into scholarly practice, uses this concept to refer to the "relatively stable thematic, compositional...

  9. Affect Editing in Speech Tal Sobol Shikler and Peter Robinson

    E-Print Network [OSTI]

    Robinson, Peter

    of transformations and effects. In the following sections we outline the method, show examples of subtle J. Tao, T with users and listeners. 2 Affect Editor The affect editor, shown schematically in Figure 1, takes an input speech signal X, and allows the user to modify its conveyed expression, in order to produce an output

  10. Examining the Blogging Habits of Agricultural Leadership Students at Texas A&M University: Understanding Motivation, Use, and Self-Efficacy

    E-Print Network [OSTI]

    Bumguardner, Kalee Marie

    2013-05-31T23:59:59.000Z

    A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Chair of Committee, Robert Strong Committee Members, Theresa Murphrey Kerry Litzenberg Head of Department, Jack Elliot August 2013 Major.... English Teaching Forum, 2. Brescia, W. F., & Miller, M. T. (2006). What?s it worth? The perceived benefits of instructional blogging. Electronic Journal for the Integration of Technology in Education, 5. Carnevale, A. P. (1988). Workplace basics...

  11. 11/13/14, 6:38 PM"Crappy Gabor paper": Overly honest citation slips into peer-reviewed journal Ethology. Page 1 of 7http://www.slate.com/blogs/future_tense/2014/11/11/_crappy_gabor_paper_overly_honest_citation_slips_into_peer_reviewed_journal.html

    E-Print Network [OSTI]

    Tomforde, Mark

    Ethology. Page 1 of 7http://www.slate.com/blogs/future_tense/2014/11/11/_crappy_gabor_paper into peer-reviewed journal Ethology. Page 2 of 7http://www.slate.com/blogs/future_tense/2014/11/11/_crappy-author Lillian Fritz-Laylin explained in a Slate post last year, overly honest asides are more commonly found

  12. 28/03/2011 23:01Linkage 3/25: Giant Bunnies, Religious Obesity, and Kin Selection Kerfuffle Science Life Blog University of Chicago Medical Center Page 1 of 5http://sciencelife.uchospitals.edu/2011/03/25/linkage-325-giant-bunnies-religious-obesity-and-k

    E-Print Network [OSTI]

    Gardner, Andy

    28/03/2011 23:01Linkage 3/25: Giant Bunnies, Religious Obesity, and Kin Selection Kerfuffle://sciencelife.uchospitals.edu/2011/03/25/linkage-325-giant-bunnies-religious-obesity-and-kin-selection-kerfuffle/ Science Life Blog - A blog of news and ideas in Biomedicine Linkage 3/25: Giant Bunnies, Religious Obesity, and Kin Selection

  13. auditory-visual speech perception: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Speech Perception, Phonology and Morphology CiteSeer Summary: 5> Developmental dyslexia is diagnosed in children who fail to acquire age-appropriate reading skills in the...

  14. Haskins Laboratories Status Report on Speech Research 1994, SR-117/118, 25-29

    E-Print Network [OSTI]

    and Doug Whalen for reviewing this work. 25 The p~oduction of speech using an articulatory synthesIzer (the

  15. ccpi-summit | netl.doe.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Project in Texas Takes Important Step Forward (Jun 2011) Techline: Innovative Texas Clean Coal Project Takes Major Step Forward as DOE Issues Record of Decision (Sep 2011)...

  16. Online control of articulation based on auditory feedback in normal Speech and stuttering : behavioral and modeling studies

    E-Print Network [OSTI]

    Cai, Shanqing

    2012-01-01T23:59:59.000Z

    Articulation of multisyllabic speech requires a high degree of accuracy in controlling the spatial (positional) and the temporal parameters of articulatory movements. In stuttering, a disorder of speech fluency, failures ...

  17. Compensation for Coarticulation: Disentangling Auditory and Gestural Theories of Perception of Coarticulatory Effects in Speech

    E-Print Network [OSTI]

    The general ecological view of perception (e.g., Gibson, 1979), from which the direct realist theory of speechCompensation for Coarticulation: Disentangling Auditory and Gestural Theories of Perception of Connecticut and Haskins Laboratories, New Haven, Connecticut According to one approach to speech perception

  18. ON THE APPROXIMATE W-DISJOINT ORTHOGONALITY OF SPEECH Scott Rickard

    E-Print Network [OSTI]

    Yilmaz, Ozgur

    ON THE APPROXIMATE W-DISJOINT ORTHOGONALITY OF SPEECH Scott Rickard£ and ¨Ozg¨ur YilmazÝ Siemens sources, and [5], which exploited the sparsity of the short-time Fourier transform when applied to speech is with the Audio and Signal Processing Group, Siemens Corporate Research and the Program in Applied

  19. METHODS FOR IMPROVING THE QUALITY OF SYLLABLE BASED SPEECH SYNTHESIS Venugopalakrishna Y R 1

    E-Print Network [OSTI]

    Sivalingam, Krishna M.

    of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai 600 036 ABSTRACT Our speech. Nev- ertheless, audible artifacts are present due to discontinuities in pitch, energy], the goal is to pick the best unit sequence from a pre-recorded continuous speech database to match

  20. Expressive Visual Speech using Geometric Muscle Functions James D. Edge and Steve Maddock

    E-Print Network [OSTI]

    Maddock, Steve

    , Expression 1 Introduction It has been found in the field of Computer Facial Animation that the closer models human faces. The problems of facial animation are increased when we consider Visual Speech speech synchronous animation is also demonstrated. It is considered that models which use a combined

  1. Investigating Speech Perception in Children With Dyslexia: Is There Evidence of

    E-Print Network [OSTI]

    Allen, Jont

    JSLHR Article Investigating Speech Perception in Children With Dyslexia: Is There Evidence: The claim that speech perception abilities are impaired in dyslexia was investigated in a group of 62 children with dyslexia and 51 average readers matched in age. Method: To test whether there was robust

  2. Context-Dependent Encoding in the Human Auditory Brainstem Relates to Hearing Speech

    E-Print Network [OSTI]

    Speech in Noise: Implications for Developmental Dyslexia Bharath Chandrasekaran,1,2,3,7 Jane Hornickel,1 with and without developmental dyslexia by measuring auditory brainstem responses to a speech syllable presented, children with developmental dyslexia exhibited impairment in their ability to modify representation

  3. Evaluation of the acoustic and aerodynamic constraints of a pneumotachograph for speech and voice studies

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    ://www.lpl.univ-aix.fr ABSTRACT To measure oral and nasal airflow during speech production, several conditions must be gathered dead volume and specific linearization for the inhaled and exhaled airflow. A soft silicone rubber mask of the articulatory mechanisms in the speech and voice production, particularly that of the oral and nasal flows

  4. An Example-based Approach to Text-driven Speech Animation with Emotional Expressions

    E-Print Network [OSTI]

    Kang, Henry

    .1 Motivation Visual speech animations of virtual characters have been playing increasingly im- portant roles in human-computer interaction. For example, virtual characters with talking faces are now widely used. In general, the visual speech animation of a virtual character is required to be synchronized with a given

  5. Towards a Revised Motor Theory of L2 Speech Perception This study aims to review, through

    E-Print Network [OSTI]

    Towards a Revised Motor Theory of L2 Speech Perception Abstract This study aims to review, through put-to-sideways motor theory of speech perception. On one hand, previous studies in support to motor development observations. On the other hand, L2 learning studies had seldom followed the motor theory

  6. A 3D dynamical biomechanical tongue model to study speech motor control

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    - 1 - A 3D dynamical biomechanical tongue model to study speech motor control Jean-Michel Grard1 about speech motor control. Tissue elastic properties are accounted for in Finite Element Modeling (FEM shape are presented and analyzed. #12;- 3 - I.Introduction The study of human motor control implies

  7. Memory-Based Approximation of the Gaussian Mixture Model Framework for Bandwidth Extension of Narrowband Speech

    E-Print Network [OSTI]

    Kabal, Peter

    Extension (BWE) of narrowband speech using Gaussian Mixture Models (GMMs). By quantifying temporal Extension (BWE) at- tempts to regenerate the highband (3.48 kHz) frequency con- tent lost during- isting networks BWE is based on the assumption that narrowband speech correlates with the highband signal

  8. Speech Planning for V1CV2 Sequences: Influence of the Planned Sequence Pascal Perrier1

    E-Print Network [OSTI]

    Boyer, Edmond

    that the control of speech production sequences involves an optimal planning process in the central nervous system of the current study. Our speech production model, called GEPETTO1 , includes a motor control model production are regions of the acoustic domain, which are related to targets in the space of the motor control

  9. The Adjustable Grid: A Grid-Based Cursor Control Solution using Speech Recognition

    E-Print Network [OSTI]

    Gray, Jeffrey G.

    The Adjustable Grid: A Grid-Based Cursor Control Solution using Speech Recognition Tarif Haque1 of grid-based cursor control systems using speech recognition have been developed. These systems typically overlay a numbered 3x3 grid on the screen and allow the user to recursively drill the cursor down

  10. Towards an Integrated Model of Speech and Gesture Production for Multi-Modal Robot Behavior

    E-Print Network [OSTI]

    Kopp, Stefan

    of a speech and gesture production model used for the virtual human Max. We propose a robot control primitives for speech and arm movements of a physical robot body. First results of both gesture production. INTRODUCTION A robot acting in a human-like way evokes social attri- butions which, in turn, make the human

  11. SPEECH ENHANCEMENT IN CAR NOISE ENVIRONMENT BASED ON AN ANALYSIS-SYNTHESIS APPROACH USING HARMONIC NOISE MODEL

    E-Print Network [OSTI]

    So, Hing-Cheung

    SPEECH ENHANCEMENT IN CAR NOISE ENVIRONMENT BASED ON AN ANALYSIS- SYNTHESIS APPROACH USING HARMONIC Kong ABSTRACT This paper presents a speech enhancement method based on an analysis-synthesis framework analysis-synthesis based speech enhancement system, and give details in HNM modeling, parameter estimation

  12. Speech enhancement using STFT of real and imaginary parts of modulation This paper investigates an alternate modulation (RI-

    E-Print Network [OSTI]

    Speech enhancement using STFT of real and imaginary parts of modulation signals Abstract This paper investigates an alternate modulation (RI- modulation) AMS-based framework for speech enhancement, in which real subtraction. Experiments presented also show that while this framework is suited to speech enhancement

  13. IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 39, NO. 4. APRIL 1991 195 Constrained Iterative Speech Enhancement with

    E-Print Network [OSTI]

    Texas at Dallas, University of

    Enhancement with Application to Speech Recognition John H. L. Hansen, Member, IEEE, and Mark A. Clements coding systems is to develop enhancement preprocessors that produce speech or recognition features less in voice communications systems. The problem of enhancing speech degraded by additive back- Manuscript

  14. Musicians' Enhanced Neural Differentiation of Speech Sounds Arises Early in Life: Developmental Evidence from Ages 3 to 30

    E-Print Network [OSTI]

    Kraus, Nina

    Musicians' Enhanced Neural Differentiation of Speech Sounds Arises Early in Life: Developmental; this training may generalize to speech processing given that adult musicians have enhanced neural-Muniz et al. 2012). We recently reported enhanced subcortical distinction of similar speech sounds (e

  15. IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 5, NO. 2, MARCH 1997 141 Enhancement of Connected Words in

    E-Print Network [OSTI]

    Bistritz, Yuval

    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 5, NO. 2, MARCH 1997 141 Enhancement Bistritz, Senior Member, IEEE Abstract--A speech enhancement algorithm that is based on a connected achieved when subjects who listened to the enhanced speech were given the results of an automatic

  16. FEATURE ENHANCEMENT USING SPARSE REFERENCE AND ESTIMATED SOFT-MASK EXEMPLAR-PAIRS FOR NOISY SPEECH RECOGNITION

    E-Print Network [OSTI]

    Alwan, Abeer

    FEATURE ENHANCEMENT USING SPARSE REFERENCE AND ESTIMATED SOFT-MASK EXEMPLAR-PAIRS FOR NOISY SPEECH-robust speech recogni- tion is proposed. Existing sparse exemplar-based feature enhance- ment methods use clean speech recognition [14]. More recently in [13], another feature enhancement scheme is pro

  17. Eects of noise and cue enhancement on neural responses to speech in auditory midbrain, thalamus and cortex

    E-Print Network [OSTI]

    E¡ects of noise and cue enhancement on neural responses to speech in auditory midbrain, thalamus, to the greatest degree in primary auditory cortex. Acoustic cue enhancements characteristic of `clear' speech reserved. Key words: Central auditory physiology; Noise; Speech-sound perception; Acoustic cue enhancement

  18. Distributed multichannel speech enhancement with minimum mean-square error short-time spectral amplitude, log-spectral

    E-Print Network [OSTI]

    Johnson, Michael T.

    Distributed multichannel speech enhancement with minimum mean-square error short-time spectral Keywords: Acoustic arrays Speech enhancement Amplitude estimation Phase estimation Parameter estimation a b on the development and implementation of speech enhancement algorithms. Whereas the current state-of-the-art methods

  19. Musical training during early childhood enhances the neural encoding of speech Dana L. Strait a,b

    E-Print Network [OSTI]

    Musical training during early childhood enhances the neural encoding of speech in noise Dana L: Auditory Brainstem ABR Speech in noise Attention Memory Musicians Children Development a b s t r a c to improve a child's access to a target signal in noise. Given adult musicians' perceptual and neural speech

  20. The motor theory of speech perception (see, e.g., Liber-man, Cooper, Shankweiler, & Studdert-Kennedy, 1967;

    E-Print Network [OSTI]

    Port, Robert

    The motor theory of speech perception (see, e.g., Liber- man, Cooper, Shankweiler, & Studdert, 1985); (3) speech perception involves access to the speech motor system (e.g., Liberman et al., 1967 with respect to audition, in that it implies recruitment of the motor system in perception; and (3a

  1. Hypertension still a killer on the loose | Windsor Star http://blogs.windsorstar.com/2013/09/04/hypertension-still-a-killer-on-the-loose/[9/5/2013 9:49:50 AM

    E-Print Network [OSTI]

    Cinabro, David

    Hypertension still a killer on the loose | Windsor Star http://blogs.windsorstar.com/2013/09/04/hypertension-still-a-killer-on-the-loose/[9/5/2013 9:49:50 AM] BODY AND HEALTH LIFE / Body and Health Hypertension still a killer on the loose Recent statistics indicate about 20 per cent of the Canadian

  2. Using prosodic structure to improve pitch range variation in text to speech synthesis.

    E-Print Network [OSTI]

    Clark, Robert A J

    1999-01-01T23:59:59.000Z

    The intonation produced by current text-to-speech systems is often either flat or artificial sounding. Pitch range is one of the contributing factors which could be improved by more detailed linguistic knowledge. In ...

  3. Pragmatic Functions of Reported Speech with jako in the Old Russian Primary Chronicle

    E-Print Network [OSTI]

    Perelmutter, Renee

    2009-01-01T23:59:59.000Z

    This article, in an attempt to add to the growing literature on Old Russian reported speech, considers the pragmatics of jako recitativum, i.e. direct discourse introduced by the particle jako that, how, a multifunctional conjunction with a...

  4. Lexical Context Effects on Speech Perception in Chinese People with Autistic Traits

    E-Print Network [OSTI]

    Huang, Hui-Chun

    2007-11-28T23:59:59.000Z

    One theory (weak central coherence) that accounts for a different perceptual-cognitive style in autism may suggest the possibility that individuals with autism are less likely to be affected by lexical knowledge on speech ...

  5. New objective distance measures for spectral discontinuities in concatenative speech synthesis

    E-Print Network [OSTI]

    Vepa, Jithendra; King, Simon; Taylor, Paul

    The quality of unit selection based concatenative speech synthesis mainly depends on how well two successive units can be joined together to minimise the audible discontinuities. The objective measure of discontinuity used ...

  6. A New Model of Intonation for Use with Speech Synthesis and Recognition

    E-Print Network [OSTI]

    Taylor, Paul A; Isard, Stephen

    This paper describes a synthesis from analysis scheme for producing natural sounding intonation for speech synthesis. The paper presents a new method of describing Fo contours in terms of three basic phonetic intonation ...

  7. Concatenative Text-to-Speech Synthesis Based on Prototype Waveform Interpolation (A Time Frequency Approach)

    E-Print Network [OSTI]

    Morais, Edmilson; Taylor, Paul; Violaro, Fabio

    This paper presents some preliminary methods to apply the Time- Frequency Interpolation technique - TFI [3] to concatenative text-to-speech synthesis. The TFI technique described here is a pitch-synchronous time-frequency ...

  8. Levels of Annotation for a Welsh Speech Database for Phonetic Research

    E-Print Network [OSTI]

    Williams, Briony

    A Welsh speech database intended for use in phonetic research requires careful annotation at several linguistic levels. The initial stage is that of labelling at the acoustic phonetic level, where the closure, burst and ...

  9. Transforming Voice Source Parameters in a HMM-based Speech Synthesiser with Glottal Post-Filtering

    E-Print Network [OSTI]

    Cabral, Joao P; Renals, Steve; Richmond, Korin; Yamagishi, Junichi

    2010-01-01T23:59:59.000Z

    Control over voice quality, e.g. breathy and tense voice, is important for speech synthesis applications. For example, transformations can be used to modify aspects of the voice re- lated to speaker's identity and to improve expressiveness. How...

  10. ORAL PRESENTATION ABSTRACT Design of a Speech Recognition System with HMMs

    E-Print Network [OSTI]

    Haykin, Simon

    Markov Models (HMMs), Viterbi Algorithm, microcontroller, steering control system #12; Electrical and Biomedical Engineering The speech recognition system, as one of the steering control control of their upper extremities. An alternative steering method is incorporated into the control system

  11. Speech Processing for Communications : What's New? S. Deketelaere (*), O. Deroo (**), T. Dutoit (**)

    E-Print Network [OSTI]

    Dupont, Stéphane

    (**) (*) MULTITEL ASBL, 1 Copernic Ave, Initialis Scientific Park, B-7000 MONS (**) Faculté Polytechnique de Mons, TCTS Lab, 1 Copernic Ave, Initialis Scientific Park, B-7000 MONS Abstract Speech is one of the most

  12. Efficient error correction for speech systems using constrained re-recognition

    E-Print Network [OSTI]

    Yu, Gregory T

    2008-01-01T23:59:59.000Z

    Efficient error correction of recognition output is a major barrier in the adoption of speech interfaces. This thesis addresses this problem through a novel correction framework and user interface. The system uses constraints ...

  13. A longitudinal study of prosodic exaggeration in child-directed speech

    E-Print Network [OSTI]

    Vosoughi, Soroush

    We investigate the role of prosody in child-directed speech of three English speaking adults using data collected for the Human Speechome Project, an ecologically valid, longitudinal corpus collected from the home of a ...

  14. Contributions of Prosodic and Distributional Features of Caregivers' Speech in Early Word Learning

    E-Print Network [OSTI]

    Vosoughi, Soroush

    How do characteristics of caregiver speech contribute to a child's early word learning? We explore the relationship between a single child's vocabulary growth and the distributional and prosodic characteristics of the ...

  15. The voice-bar after closure of coda consonants in the speech of young children

    E-Print Network [OSTI]

    Cho, Won Ron

    2008-01-01T23:59:59.000Z

    The purpose of this study is to gain some insight into the speech acquisition process and articulator development of young children whose mother-tongue is American English. The presence of voice-bars after the closure of ...

  16. Group Speech Therapy in Individuals With Parkinson Disease: Face-to-Face Versus Telemedicine

    E-Print Network [OSTI]

    Wilson, Kristel Renee

    2008-07-31T23:59:59.000Z

    The purpose of this study was to evaluate the outcomes of group speech therapy for individuals with Parkinson Disease (IWPD) in general and to compare outcomes of group treatment delivered face-to-face (FtF) versus delivery ...

  17. SPEECH NOISE ESTIMATION USING ENHANCED MINIMA CONTROLLED RECURSIVE Ningping Fan, Justinian Rosca, Radu Balan

    E-Print Network [OSTI]

    Balan, Radu V.

    , Justinian Rosca, Radu Balan Siemens Corporate Research Inc. {Ning.Fan, Justinian.Rosca, Radu.Balan}@siemens speech samples are organized as overlapped frames and each frame is transformed into spectral domain

  18. Self-Learning and Self-Organization as Tools for Speech Research

    E-Print Network [OSTI]

    Locus equations offer promise for an understanding of at least some aspects of perceptual invariance in speech, but they were discovered almost fortuitously. With the present availability of powerful machine learning algorithms, `ignorance-based' automatic discovery procedures are starting to supplant `knowledge-based' scientific inquiry. Prin1 ciples of self-learning and self-organisation are powerful tools for speech research but remain somewhat under-utilised. Locus equations were first discovered by Lindblom (1963) but have since been more thoroughly investigated by Sussman and his colleagues. They offer as much promise for understanding the vexed question of invariance, whereby speech sounds are physically modified by their context but are still perceived as members of the same equivalence class (phoneme category), as any proposal yet advanced. The basic notion is that, while features of the speech signal may vary as a result of coarticulation, the relation between certain key fea...

  19. Exploiting pitch dynamics for speech spectral estimation using a two-dimensional processing framework

    E-Print Network [OSTI]

    Wang, Tianyu Tom

    2008-01-01T23:59:59.000Z

    This thesis addresses the problem of obtaining an accurate spectral representation of speech formant structure when the voicing source exhibits a high fundamental frequency. Our work is inspired by auditory perception and ...

  20. Lexical and Language Modeling of Diacritics and Morphemes in Arabic Automatic Speech Recognition

    E-Print Network [OSTI]

    Al Hanai, Tuka

    2014-01-01T23:59:59.000Z

    Arabic is a morphologically rich language which rarely displays diacritics. These two features of the language pose challenges when building Automatic Speech Recognition (ASR) systems. Morphological complexity leads to ...

  1. Speech synthesis using non-uniform units in the Verbmobil project.

    E-Print Network [OSTI]

    King, Simon; Portele, Thomas; Hfer, Florian

    1997-01-01T23:59:59.000Z

    We describe a concatenative speech synthesiser for British English which uses the HADIFIX inventory structure originally developed for German by Portele. An inventory of non-uniform units was investigated with the aim of ...

  2. Speaker-Adaptation for Hybrid HMM-ANN Continuous Speech Recognition System

    E-Print Network [OSTI]

    Neto, Joao; Almeida, Luis; Hochberg, Mike; Martins, Ciro; Nunes, Luis; Renals, Steve; Robinson, Tony

    1995-01-01T23:59:59.000Z

    to reduce this degradation. In this paper we present and evaluate some techniques for speaker-adaptation of a hybrid HMM-artificial neural network (ANN) continuous speech recognition system. These techniques are applied to a well trained, speaker...

  3. The role of linguistic contrasts in the auditory feedback control of Speech

    E-Print Network [OSTI]

    Niziolek, Caroline A

    2010-01-01T23:59:59.000Z

    Speakers use auditory feedback to monitor their own speech, ensuring that the intended output matches the observed output. By altering the acoustic feedback signal before it reaches the speaker's ear, we can induce auditory ...

  4. Prediction and Realisation of Conversational Characteristics by Utilising Spontaneous Speech for Unit Selection

    E-Print Network [OSTI]

    Andersson, Sebastian; Georgila, Kallirroi; Traum, David; Aylett, Matthew; Clark, Robert A J

    2010-01-01T23:59:59.000Z

    than how people read. In this paper we included carefully selected utterances from spontaneous conversational speech in a unit selection voice. Using this voice and by automatically predicting type and placement of lexical fillers and filled pauses we...

  5. Shape-based modeling of the fundamental frequency contour for emotion detection in speech

    E-Print Network [OSTI]

    Busso, Carlos

    informatics (e.g., depression, autism), and education (e.g., tutoring system) [5, 21]. Given the important speech tends to increase at the end of the sentence [43]. Since the statis- tics are computed

  6. Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech-motor cortex

    E-Print Network [OSTI]

    Brumberg, Jonathan S.; Wright, E. Joe; Andreasen, Dinal S.; Guenther, Frank H.; Kennedy, Philip R.

    2011-05-12T23:59:59.000Z

    We conducted a neurophysiological study of attempted speech production in a paralyzed human volunteer using chronic microelectrode recordings. The volunteer suffers from locked-in syndrome leaving him in a state of near-total ...

  7. Parts-based models and local features for automatic speech recognition

    E-Print Network [OSTI]

    Schutte, Kenneth Thomas, 1979-

    2009-01-01T23:59:59.000Z

    While automatic speech recognition (ASR) systems have steadily improved and are now in widespread use, their accuracy continues to lag behind human performance, particularly in adverse conditions. This thesis revisits the ...

  8. Tracking Talking: Dual Task Costs of Planning and Producing Speech for Young versus Older Adults

    E-Print Network [OSTI]

    Kemper, Susan; Hoffman, Lesa; Schmalzried, RaLynn Cheri; Herman, Ruth; Kieweg, Doug

    2011-05-01T23:59:59.000Z

    A digital pursuit rotor was used to monitor speech planning and production costs by time-locking tracking performance to the auditory wave form produced as young and older adults were describing someone they admire. The ...

  9. Adaptive code generators for tree coding of speech at 16 kbps

    E-Print Network [OSTI]

    Haschke, Greg Benjamin

    1987-01-01T23:59:59.000Z

    ADAPTIVE CODE GENERATORS FOR TREE CODING OF SPEECH AT 16 KBPS A Thesis GREG BENJAMIN HASCHKE Submitted to the Graduate College oi' Texas AkM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE Ma. y 1987... Major Subject, : Electrical Engineering ADAPTIVE CODE GENERATORS FOR TREE CODING OF SPEECH AT 16 KBPS A Thesis GREG BENJAMIN HASCHKE Approved as to style and content bJ Jerr . Gibson Chairm of Committee) ~. N. Georghiades (Menrber) S. P...

  10. ARM - Blog Article

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the AMF2 reached land for an extended stay at the Station for Measuring Forest Ecosystem-Atmosphere Relations (SMEAR II) in Hyytiala, Finland. This nine-month, land-based...

  11. Remembering Denice Denton Blog

    E-Print Network [OSTI]

    Sheridan, Jennifer

    as an engineering professor at the University of Wisconsin and me as a writer and founding editor of "Women advocacy for women in the sciences, engineering and leadership, and the creation of many programs at www.wihe.com and later in the Web site archives. Barbara Anderegg -- 01 August 2006, 18:54 I first met

  12. ARM - Blog Article

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    We share our English and he patiently tries to help us with Portuguese, but my limited Spanish keeps getting in the way. Right before a particularly robust thunderstorm, a power...

  13. ARM - Blog Article

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearchSOLICITATIONIMODI FICATION OFMaterialsAnnualProject (BBOP)

  14. Energy Saver Blog

    Broader source: Energy.gov (indexed) [DOE]

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  15. Blog | Department of Energy

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  17. Blog | Department of Energy

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  18. Blog | Department of Energy

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  19. Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  20. Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  1. Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  2. Blog | Department of Energy

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  3. NREL: Solar STAT Blog -

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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  5. Blog Feed: Vehicles

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  7. OE Blog Archive

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  8. IA Blog Archive

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov.Energy02.pdf7 OPAM Flash2011-37EnergySubmit ait's LED Solid-State Lighting.71

  9. Indian Energy Blog Archive

    Energy Savers [EERE]

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  10. FEMP Director's Blog

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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  11. Jessi3bl's blog

    Open Energy Info (EERE)

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    Open Energy Info (EERE)

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    Open Energy Info (EERE)

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  15. Department of Energy - Blog

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197 ThisFinal Report |Denice RossAuditDepartment's097 en

  16. NE Blog Archive

    Broader source: Energy.gov (indexed) [DOE]

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  17. NickL's blog

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri: Energy Resources Jump to: navigation,NextEraCounty, NewWestNick's671

  18. ARM - Blog Article

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are70 YearsPlainsARM SummerARMBecome

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  3. ARM - Blog Article

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (SeeCenterARM Mobile Facility 1ARMOctober 1, 2013

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (SeeCenterARM Mobile Facility 1ARMOctober 1,5,

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  18. BioEnergy Blog

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform isEnergyMeeting | Department of Energy Big

  19. Graham7781's blog

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating AGeothermal/Exploration <GlacialGolden SpreadGomtiofGraham County

  20. Exploiting the didactic aspect of whistled speech in Gomero Spanish and Mazatec: interactions between phonetic research and education

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Exploiting the didactic aspect of whistled speech in Gomero Spanish and Mazatec: interactions revitalized thanks to an introduction in official educative systems. The didactic applications of whistled

  1. 5/6/09 9:35 AMAre there roaches in your coffee and chocolate? Bug Girl's Blog Page 1 of 5http://membracid.wordpress.com/2009/05/05/are-there-roaches-in-your-coffee-and-chocolate/

    E-Print Network [OSTI]

    Emlen, Douglas J.

    5/6/09 9:35 AMAre there roaches in your coffee and chocolate? « Bug Girl's Blog Page 1 of 5http://membracid.wordpress.com/2009/05/05/are-there-roaches-in-your-coffee-and-chocolate/ « Pollinator Action Alert: Farm Bill in Senate Are there roaches in your coffee and chocolate? The interwebs are abuzz from the NPR interview

  2. this work, we examine acoustic feature changes in time-compressed speech processed using synchronized overlap-add SOLA method. Also,

    E-Print Network [OSTI]

    Russell, Daniel A.

    synchronized overlap-add SOLA method. Also, we discuss which parts of speech consonants or vowels are more

  3. A Fully Data Parallel WFST-based Large Vocabulary Continuous Speech Recognition on a Graphics Processing Unit

    E-Print Network [OSTI]

    California at Irvine, University of

    A Fully Data Parallel WFST-based Large Vocabulary Continuous Speech Recognition on a Graphics process for large vocabulary continuous speech recog- nition (LVCSR) have been considered by many to transform their algorithms to fit the data parallel model. This can be challenging for algorithms that don

  4. HRskins lAborrllories SIRIus Report on Speech Research 1992, SR-109/110, 13-26

    E-Print Network [OSTI]

    environment. At an acoustic level, characteristic patterns result from complex aero- dynamic manipulations sys- tem and the acoustic medium for speech produc- tion/perception, speech motor processes constitute to adapt to the constantly changing peripheral environment. Examination of the structural components

  5. SPEECH UNDER PHYSICAL STRESS: A PRODUCTION-BASED FRAMEWORK Sanjay Patil, Abhijeet Sangwan, and John H. L. Hansen

    E-Print Network [OSTI]

    Texas at Dallas, University of

    SPEECH UNDER PHYSICAL STRESS: A PRODUCTION-BASED FRAMEWORK Sanjay Patil, Abhijeet Sangwan, and John, University of Texas at Dallas, Richardson, Texas, U.S.A. ABSTRACT This paper examines the impact of physical. Additionally, this work connects high-level prosodic changes in the speech signal (energy, pitch, and duration

  6. Title Distributed Multi-Microphone Speech Enhancement Contact Info Dr. ir. R.C. Hendriks (r.c.hendriks@tudelft.nl)

    E-Print Network [OSTI]

    Title Distributed Multi-Microphone Speech Enhancement Contact Info Dr. ir. R.C. Hendriks (r and interferences is to use multi- microphone speech enhancement methods like beamforming or multi-microphone Wiener of new multi-microphone speech enhancement algorithms that can run in such a distributed setup. The goal

  7. 774 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 14, NO. 3, MAY 2006 A Two-Stage Algorithm for One-Microphone

    E-Print Network [OSTI]

    Wang, DeLiang "Leon"

    -Stage Algorithm for One-Microphone Reverberant Speech Enhancement Mingyang Wu, Member, IEEE, and DeLiang Wang by this observation, we propose a two-stage reverberant speech enhancement algorithm using one microphone algorithm significantly improves the quality of reverberant speech. A comparison with a recent enhancement

  8. Title Source Localization for Multi-Microphone Speech Enhancement Dr. ir. R.C. Hendriks (r.c.hendriks@tudelft.nl)

    E-Print Network [OSTI]

    Title Source Localization for Multi-Microphone Speech Enhancement Contact Info Dr. ir. R environmental noise and interferences is to use multi- microphone speech enhancement methods like beamforming.C. Hendriks (r.c.hendriks@tudelft.nl) Short Description Speech processing applications, such as hearing aids

  9. Exploiting Nonacoustic Sensors for Speech Enhancement* T.F. Quatieri, D. Messing, K. Brady, W.B. Campbell, J.P. Campbell, M. Brandstein, C.J. Weinstein**

    E-Print Network [OSTI]

    Exploiting Nonacoustic Sensors for Speech Enhancement* T.F. Quatieri, D. Messing, K. Brady, W to speech enhancement that exploits these nonacoustic sensors according to their capability in representing a complete multimodal speech enhancement scheme that utilizes the GEMS, P- mic, and acoustic sensors

  10. Enhancement of a radiation safety system through the use of a microprocessor-controlled speech synthesizer

    SciTech Connect (OSTI)

    Keefe, D.J.; McDowell, W.P.

    1980-01-01T23:59:59.000Z

    A speech synthesizer is being used to differentiate eight separate safety alarms on a high energy accelerator at Argonne National Laboratory. A single board microcomputer monitors eight signals from an existing radiation safety logic circuit. The microcomputer is programmed to output the proper code at the proper time and sequence to a speech synthesizer which supplies the audio input to a local public address system. This eliminates the requirement for eight different alarm tones and the personnel training required to differentiate among them. A twenty-word vocabulary was found adequate to supply the necessary safety announcements. The article describes the techniques used to interface the speech synthesizer into the existing safety logic circuit.

  11. Recurrent neural network language model training with noise contrastive estimation for speech recognition

    E-Print Network [OSTI]

    Chen, X.; Liu, X.; Gales, M. J. F.; Woodland, P. C.

    2015-04-22T23:59:59.000Z

    are evaluated on the CU-HTK LVCSR system for conversational telephone speech (CTS) used in the 2004 DARPA EARS evaluation. The acoustic models were trained on ap- proximately 2000 hours of Fisher conversational speech released by the LDC. A 59k recognition word... -gram LM was trained using a total of 545 million words from 2 text sources: the LDC Fisher acoustic transcriptions, Fisher, of 20 million words (weight 0.75), and the University Wash- ington conversational web data [28], UWWeb, of 525 million words...

  12. A SUBBAND HYBRID BEAMFORMING FOR IN-CAR SPEECH ENHANCEMENT Charles Fox

    E-Print Network [OSTI]

    Badeau, Roland

    A SUBBAND HYBRID BEAMFORMING FOR IN-CAR SPEECH ENHANCEMENT Charles Fox , Guillaume Vitte , Maurice is pre- sented, dedicated to in-car communication. An experimental study of the acoustic field inside the car interior leads us to propose a hy- brid beamforming algorithm, taking two frequency ranges into ac

  13. A long state vector Kalman filter for speech enhancement Stephen So and Kuldip K. Paliwal

    E-Print Network [OSTI]

    A long state vector Kalman filter for speech enhancement Stephen So and Kuldip K. Paliwal Signal.so@griffith.edu.au, k.paliwal@griffith.edu.au Abstract In this paper, we investigate a long state vector Kalman filter studies that a vector Kalman filter achieves better enhance- ment than the scalar Kalman filter

  14. Transformational Optimization of the Full Rate Speech Transcoder GSM 06.101

    E-Print Network [OSTI]

    Ould Ahmedou, Mohameden

    1 Transformational Optimization of the Full Rate Speech Transcoder GSM 06.101 1 Motivation Since in this paper, design space exploration is done on behavioral level by applying high- level transformations. If, like most of the conventional tools using high-level transformations do, an evaluation of the design

  15. LATTICE SEGMENTATION AND SUPPORT VECTOR MACHINES FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION

    E-Print Network [OSTI]

    Byrne, William

    LATTICE SEGMENTATION AND SUPPORT VECTOR MACHINES FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION to transform a lattice into a sequence of confusions. · Lattice Error Rate preserved throughout the process. · Allows the use of simple yet powerful classifiers (e.g., SVMs) for ASR that otherwise would not have been

  16. COMBINING DISCRIMINATIVE FEATURE, TRANSFORM, AND MODEL TRAINING FOR LARGE VOCABULARY SPEECH RECOGNITION

    E-Print Network [OSTI]

    Stolcke, Andreas

    COMBINING DISCRIMINATIVE FEATURE, TRANSFORM, AND MODEL TRAINING FOR LARGE VOCABULARY SPEECH discriminative power. Typical approaches include fMPE [6] and MPE­RDLT (region dependent linear transforms) [7MPE transforms, and MPE training to a large vocabulary Mandarin recognition task, and by studying how the me

  17. Voice Transformations: From Speech Synthesis to Mammalian Vocalizations Min Tang, Chao Wang, Stephanie Seneff

    E-Print Network [OSTI]

    of Technology, Cambridge, Massachusetts 02139 USA mtang, wangc, seneff @sls.lcs.mit.edu Abstract This paper, energy, and formant positions, without explicit extraction. The modifications to the signal can modify the prosody of the stu- dent's own speech to match that from a native speaker, and use the result

  18. Allowing Errors in Speech over Wireless LANs Ian Chakeres, Hui Dong, Elizabeth Belding-Royer

    E-Print Network [OSTI]

    Belding-Royer, Elizabeth M.

    in call quality. By forcing error-free reception of speech, scarce bandwidth and energy are unnecessarily- dard are experiencing widespread deployment. Currently most devices with WLAN connectivity are laptops. In congested networks, fewer retransmissions reduce the channel usage and result in increased packet delivery

  19. Comparison of Wavelet and FFT Based Single Channel Speech Signal Noise Reduction Techniques

    E-Print Network [OSTI]

    Maryland at College Park, University of

    .Balan, Justinian.Rosca}@scr.siemens.com ABSTRACT This paper compares wavelet and short time Fourier transform based Ningping Fan, Radu Balan, Justinian Rosca Siemens Corporate Research Inc. {Ningping.Fan, Radu techniques for single channel speech signal noise reduction based on different transformation techniques

  20. Engendering Social Justice Professor Toope--Keynote Speech Page 1 EDUCATING THE EYE

    E-Print Network [OSTI]

    Pulfrey, David L.

    Engendering Social Justice Professor Toope--Keynote Speech Page 1 EDUCATING THE EYE: Engendering about is the eye glasses. It's silly, really. It was over a year ago now. I was interviewed for a local Out of Stone, Toronto- based, Trinidadian essayist and poet Dionne Brand says, "The eye is a curious