DISCRIMINATIVE TRAINING OF GMM USING A MODIFIED EM ALGORITHM FOR SPEAKER RECOGNITION

5th International Conference on Spoken Language Processing, ICSLP 1998

Volumn , Issue , 1998, Pages

  Markov, Konstantin P ^a   Nakagawa, Seiichi ^a  

^a TOYOHASHI UNIVERSITY OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; MAXIMUM PRINCIPLE; SPEECH RECOGNITION;

DISCRIMINATIVE TRAINING; EXPECTATIONS MAXIMIZATION ALGORITHMS; GAUSSIAN MIXTURE MODEL; ITS APPLICATIONS; MODEL APPLICATION; MODIFIED EXPECTATION-MAXIMIZATION; SPEAKER RECOGNITION; TEXT INDEPENDENTS; TRAINING DATA; TRAINING METHODS;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 85128400029     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. C. Alamo, F. Gil, C. Muninlla, andH. Gomez, "Discriminative training of GMM for speaker identification," in Proc. ICASSP'96, pp. 89-92, 1996.
2. H. Li, J. Haton, and Y. Gong, "On MMI learning of Gaussian mixture for speaker models," in Proc. EUROSPEECH'95, vol. 1, pp. 363-366, 1995.
3. K. P. Markov and S. Nakagawa, "Frame level likelihood normalization for text-independent speaker identification using Gaussian Mixture Models," in Proc. ICSLP, pp. 1764-1767, 1996.
4. K. P. Markov and S. Nakagawa, "Discriminative training of GMM using frame level likelihood normalization for speaker recognition," Tech. Rep. SP97-18, IEICE, June 1997.
5. Entropic Research Laboratory, Inc., ESPS Programs, 1996.
6. D. A. Reynolds, "Large population speaker identification using clean and telephone speech," IEEE Signal Processing Letters, vol. 2, pp. 46-48, Mar. 1995.
7. F. Bimbot, I. Magrin-Chagnolleau, and L. Mathan, "Second-order statistical measures for text-independent speaker identification," Speech Communication, vol. 17', pp. 177-192, Aug. 1995.