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Title: Speech information retrieval: a review

Abstract

Audio is an information-rich component of multimedia. Information can be extracted from audio in a number of different ways, and thus there are several established audio signal analysis research fields. These fields include speech recognition, speaker recognition, audio segmentation and classification, and audio finger-printing. The information that can be extracted from tools and methods developed in these fields can greatly enhance multimedia systems. In this paper, we present the current state of research in each of the major audio analysis fields. The goal is to introduce enough back-ground for someone new in the field to quickly gain high-level understanding and to provide direction for further study.

Authors:
;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1060123
Report Number(s):
PNNL-SA-77090
400470000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Multimedia Systems, 18(6):499-518
Additional Journal Information:
Journal Name: Multimedia Systems, 18(6):499-518
Country of Publication:
United States
Language:
English

Citation Formats

Hafen, Ryan P., and Henry, Michael J. Speech information retrieval: a review. United States: N. p., 2012. Web. doi:10.1007/s00530-012-0266-0.
Hafen, Ryan P., & Henry, Michael J. Speech information retrieval: a review. United States. doi:10.1007/s00530-012-0266-0.
Hafen, Ryan P., and Henry, Michael J. Thu . "Speech information retrieval: a review". United States. doi:10.1007/s00530-012-0266-0.
@article{osti_1060123,
title = {Speech information retrieval: a review},
author = {Hafen, Ryan P. and Henry, Michael J.},
abstractNote = {Audio is an information-rich component of multimedia. Information can be extracted from audio in a number of different ways, and thus there are several established audio signal analysis research fields. These fields include speech recognition, speaker recognition, audio segmentation and classification, and audio finger-printing. The information that can be extracted from tools and methods developed in these fields can greatly enhance multimedia systems. In this paper, we present the current state of research in each of the major audio analysis fields. The goal is to introduce enough back-ground for someone new in the field to quickly gain high-level understanding and to provide direction for further study.},
doi = {10.1007/s00530-012-0266-0},
journal = {Multimedia Systems, 18(6):499-518},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {11}
}