- ev aluation for Speech in Noisy Env ironments
- The performance of speech recognition systems degrades when the basic sound units used are poorly defined or incon
- Two types of algorithms are introduced that recover missing timefrequency regions of logspectral representations of speech.
- AUTOMATIC SUBWORD UNIT REFINEMENT FOR SPONTANEOUS SPEECH RECOGNITION VIA PHONE SPLITTING
- BANDWIDTH EXPANSION WITH A P OLYA URN MODEL Bhiksha Raj
- SEPARATING A FOREGROUND SINGER FROM BACKGROUND MUSIC Bhiksha Raj, Paris Smaragdis, Madhusudhana Shashanka
- This paper investigates the use of higher-order autoregressive vector predictors for tracking the noise in noisy speech signals.
- In this paper we describe a generalized classification method for HMM-based speech recognition systems, that uses free energy as
- In this paper we model noise as a sequence of states of a dynam-ical system with a continuum of states. Observations generated
- NCORRECTEDPROOF Classifier-based non-linear projection for adaptive
- In speech recognition systems, information from multiple sources such as different feature streams or acoustic models can
- Edited by Gillian Davis NOISE CANCELLATION TECHNOLOGIES (EUROPE) LTD, CAMBRIDGE, UK
- PHONE TRANSITION ACOUSTIC MODELING: APPLICATION TO SPEAKER INDEPENDENT AND SPONTANEOUS SPEECH SYSTEMS
- PROBABILISTIC DEDUCTION OF SYMBOL MAPPINGS FOR EXTENSION OF LEXICONS
- Keywords: Speech processing, Classification, Free energy, Equi-librium temperature
- CMU's 10X real time system is the HMM-based SPHINX-III system with a newly developed fast decoder. The fast decoder
- AUTOMATIC GENERATION OF PHONE SETS AND LEXICAL TRANSCRIPTIONS R. Singh, B. Raj and R. M. Stern
- AUTOMATIC GENERATION OF SUB-WORD UNITS FOR SPEECH RECOGNITION Rita Singh 1 , Bhiksha Raj 2 and Richard M. Stern 1 , Member IEEE
- AUTOMATIC CLUSTERING AND GENERATION OF CONTEXTUAL QUESTIONS FOR TIED STATES IN HIDDEN MARKOV MODELS
