Automatic speech recognition using dynamic Bayesian networks with both acoustic and articulatory variables

6th International Conference on Spoken Language Processing, ICSLP 2000

Volumn , Issue , 2000, Pages

  Stephenson, Todd A ^a,b   Bourlard, Hervé ^a,b   Bengio, Samy ^a   Morris, Andrew C ^a  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

^b EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC WAVES; BAYESIAN NETWORKS; HIDDEN MARKOV MODELS; MARKOV PROCESSES;

ACOUSTIC SIGNALS; ARTICULATORY DATA; ARTICULATORY INFORMATIONS; AUTOMATIC SPEECH RECOGNITION; CURRENT TECHNOLOGY; DYNAMIC BAYESIAN NETWORKS; HIDDEN MARKOV MODELS (HMMS); ISOLATED WORD RECOGNITION;

SPEECH RECOGNITION;

EID: 85009135204     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Dean, T. and Kanazawa, K. (1988). Probabilistic temporal reasoning. In Proceedings of the Seventh National Conference on Artificial Intelligence.
2. Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers, Inc., San Francisco, California, revised second printing edition.
3. Peot, M. A. and Shachter, R. D. (1991). Fusion and propagation with multiple observations in belief networks. Artificial Intelligence, 48, 299-318.
4. Rabiner, L. and Juang, B.-H. (1993). Fundamentals of Speech Recognition. PTR Prentice-Hall, Inc., Englewood Cliffs, NJ.
5. Westbury, J. R., Turner, G., and Dembowski, J. (1994). X-ray Microbeam Speech Production Database User's Handbook. Waisman Center on Mental Retardation & Human Development, University of Wisconsin, Madison, WI, first edition.
6. Young, S., Kershaw, D., Odell, J., Ollason, D., Valtchev, V., and Woodland, P. (1999). The htk book. Entropic, Ltd., Cambridge, UK, htk version 2.2 edition.
7. Zlokarnik, I. (1995). Adding articulatory features to acoustic features for automatic speech recognition. The Journal of the Acoustical Society of America, 97(5), 3246. Abstract laSC38.
8. Zweig, G. and Russell, S. (1998). Probabilistic modeling with Bayesian networks for automatic speech recognition. In R. H. Mannell and J. Robert-Ribes, editors, ICSLP'98 Proceedings, volume 7, pages 3011-3014, Sydney.
9. Zweig, G. G. (1998). Speech Recognition with Dynamic Bayesian Networks. Ph. D. Thesis, University of California, Berkeley.