Combined linear regression adaptation and Bayesian predictive classification for robust speech recognition

Jen-Tzung Chien*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The uncertainty in parameter estimation due to the adverse environments deteriorates the speech recognition performance. It becomes crucial to incorporate the parameter uncertainty into decision so that the classification robustness can be assured. In this paper, we propose a linear regression based Bayesian predictive classification (LRBPC) for robust speech recognition. This framework is constructed under the paradigm of linear regression adaptation of HMM's. Because the regression mapping between HMM's and adaptation data is ill posed, we properly characterize the uncertainty of regression parameters using a joint Gaussian distribution. A predictive distribution is derived to set up the LRBPC decision. Such decision is robust compared to the plug-in maximum a posteriori decision adopted in the maximum likelihood linear regression (MLLR). Since the specified distribution belongs to the conjugate prior family, the evolutionary hyperparameter is established. With the hyperparameter, the LRBPC achieves significantly better performance than MLLR adaptation in car speech recognition.

Original languageEnglish
Title of host publicationEUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology
EditorsBorge Lindberg, Henrik Benner, Paul Dalsgaard, Zheng-Hua Tan
PublisherInternational Speech Communication Association
Pages1131-1134
Number of pages4
ISBN (Electronic)8790834100, 9788790834104
StatePublished - 1 Jan 2001
Event7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001 - Aalborg, Denmark
Duration: 3 Sep 20017 Sep 2001

Publication series

NameEUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology

Conference

Conference7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001
CountryDenmark
CityAalborg
Period3/09/017/09/01

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  • Cite this

    Chien, J-T. (2001). Combined linear regression adaptation and Bayesian predictive classification for robust speech recognition. In B. Lindberg, H. Benner, P. Dalsgaard, & Z-H. Tan (Eds.), EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology (pp. 1131-1134). (EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology). International Speech Communication Association.