Effects of Bayesian predictive classification using variational Bayesian posteriors for sparse training data in speech recognition

9th European Conference on Speech Communication and Technology

Volumn , Issue , 2005, Pages 1105-1108

  Watanabe, Shinji ^a   Nakamura, Atsushi ^a  

^a Nippon Telegraph and Telephone Corporation   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN PREDICTIVE CLASSIFICATION; CLUSTERING; SPARSE TRAINING DATA; VARIATIONAL BAYESIAN POSTERIORS;

CLASSIFICATION (OF INFORMATION); DATA PROCESSING; SPEECH COMMUNICATION;

SPEECH RECOGNITION;

EID: 33745190749     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. S. Watanabe, Y. Minami, A. Nakamura, and N. Ueda, "Variational Bayesian estimation and clustering for speech recognition," IEEE Trans. SAP, vol. 12, pp. 365-381, 2004.
2. Q. Huo and C-H. Lee, "A Bayesian predictive classification approach to robust speech recognition," IEEE Trans. SAP, vol. 8, pp. 200-204, 2000.
3. H. Jiang, K. Hirose, and Q. Huo, "Robust speech recognition based on a Bayesian prediction approach," IEEE Trans. SAP, vol. 7, pp. 426-440, 1999.
4. H. Attias, "Inferring parameters and structure of latent variable models by variational Bayes," in Proc. UAI 15, 1999.
5. K. Shinoda and T. Watanabe, "Acoustic modeling based on the MDL criterion for speech recognition," in Proceedings of EuroSpeech1997, 1997, vol. 1, pp. 99-102.
6. J-L. Gauvain and C-H. Lee, "Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains," IEEE Trans. SAP, vol. 2, pp. 291-298, 1994.