Boosted mixture learning of Gaussian mixture HMMs for speech recognition

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 2942-2945

  Du, Jun ^a   Hu, Yu ^a   Jiang, Hui ^b  

^a IFLYTEK RESEARCH   (China)

^b YORK UNIVERSITY   (Canada)

Author keywords

Acoustic models; Boosted mixture learning; Functional gradient; Speech recognition

Indexed keywords

GAUSSIAN DISTRIBUTION; HIDDEN MARKOV MODELS; SPEECH COMMUNICATION; TRELLIS CODES; BARIUM COMPOUNDS;

ACOUSTIC MODEL; BAYESIAN INFORMATION CRITERION; BOOSTED MIXTURE LEARNING; FUNCTIONAL GRADIENT; GAUSSIAN MIXTURE MODEL; OBJECTIVE FUNCTIONS; PARSIMONIOUS MODELING; TRAINING PROCEDURES; ACOUSTICS MODEL; GAUSSIAN-MIXTURES; INCREMENTAL METHOD; LEARN+; LEARNING FRAMEWORKS; MIXTURE COMPONENTS; MIXTURE MODELING;

SPEECH RECOGNITION;

EID: 79959858643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. L. Mason, J. Baxter, P. Bartlett, and M. Frean. "Boosting algorithms as gradient descent in function space." NIPS 11, 1999.
2. V. Pavlovic, "Model-based motion clustering using boosted mixture modeling." Proc. of CVPR, 2004, pp. 811-818.
3. M. Kim and V. Pavlovic, "A recursive method for discriminative mixture learning." Proc. of ICML, 2007, pp. 409-416. (Pubitemid 47275092)
4. S. Rosset, "Robust boosting and its relation to bagging." Proc. of ACM SIGKDD, 2005, pp. 249-255. (Pubitemid 43218286)
5. G. McLachlan. "Finite mixture models." John Willey & Sons, Inc., 2001.
6. G. Schwarz, "Estimating the dimension of a model." Annals of Statistics, Vol. 6, No. 2, pp. 461-464, 1978.
7. P. Woodland, J. Odell, V. Valtchev, and S. Young, "Large vocabulary continuous speech recognition using HTK." Proc. of ICASSP, 1994, Vol. 2, pp. 125-128.