INCREMENTAL TRAINING OF CDHMMS USING BAYESIAN LEARNING

6th European Conference on Speech Communication and Technology, EUROSPEECH 1999

Volumn , Issue , 1999, Pages 2753-2756

  Vair, Claudio ^a   Mercogliano, Massimiliano ^a   Fissore, Luciano ^a  

^a CSELT   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

HEURISTIC METHODS; HIDDEN MARKOV MODELS; MAXIMUM LIKELIHOOD; SPEECH COMMUNICATION;

BAYESIAN LEARNING; CONTINUOUS DENSITY HIDDEN MARKOV MODELS; INCREMENTAL TRAINING; LEARNING APPROACH; OPTIMIZATION METHOD; POSTERIORI; PRIORI KNOWLEDGE; REAL APPLICATIONS; SPEECH DATA; TRAINING DATA;

OPTIMIZATION;

EID: 6644222595     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. J.-L. Gauvain, C.-H. Lee, Maximum a Posteriori Estimation for Multivariate Gaussian Mixture Observations of Markov Chains, IEEE Trans. on Speech and Audio Processing, Vol. 2, No 2, pp.291-298, Apr. 1994
2. Q. Huo, C.-H. Lee (1996), A Study of On-line Quasi-Bayes Adaptation for CDHMM-based Speech Recognition, Proc. ICASSP, pp. II 705-708, Atlanta, 1996
3. C. Vair, L. Fissore, Speaker Adaptation of CDHMMs using Bayesian Learning, in Computational Models of Speech Pattern Processing,edited by K.Ponting, NATO ASI series F, Vol 169, Springer-Verlag, pp 78-83, 1999
4. L. Fissore, F. Ravera, P. Laface, Acoustic-phonetic modeling for flexible vocabulary speech recognition, Proceedings of Eurospeech'95, pp. 799-802, Madrid, 1995