Extended baum-welch reestimation of Gaussian mixture models based on reverse jensen inequality

9th European Conference on Speech Communication and Technology

Volumn , Issue , 2005, Pages 1113-1116

  Afify, Mohamed ^a  

^a BBN TECHNOLOGIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; MATHEMATICAL MODELS; SPEECH PROCESSING; SPEECH RECOGNITION; VOCABULARY CONTROL;

GAUSSIAN DEPENDENT STEP SIZE; GAUSSIAN MIXTURE MODELS; JENSEN INEQUALITY;

GAUSSIAN NOISE (ELECTRONIC);

EID: 33745198221     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. T. Cover and J. Thomas, Elements of Information Theory, Wiley & Sons, New York, 1991.
3. P.S. Gopalakrishnan, D. Kanevsky, A. Nadas, and D. Nahamoo, "An inequality for rational functions with applications to some statistical estimation problems," IEEE Trans on Information Theory, vol. 37, no. 1, pp. 107-113, Jan. 1991.
4. A. Gunawardana, and W. Byrne, "Discriminative speaker adaptation with conditional maximum likelihood linear regression," in Proceedings Eurospeech'01, Aalborg, Denmark, September 2001.
5. T. Jebara, Discriminative, Generative, and Imitative Learning, Ph.D. thesis Massachusetts Institute of Technology, February 2002.
6. D. Kanevsky, "Extended Baum transformations for general functions," in Proceedings ICASSP'04, Montreal, Canada, May 2004.
7. Y. Normandin, R. Cardin, and R. De Mori, "High-performance connected digit recognition using maximum mutual information estimation," IEEE Trans on Speech and Audio Processing, vol. 2, no. 2, pp. 299-311, April 1994.
8. P.C. Woodland, and D. Povey, "Large scale discriminative training of hidden Markov models for speech recognition," Computer Speech and Language, Vol. 16, pp. 25-48, 2002.