Mixtures of inverse covariances

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2003, Pages 852-855

  Vanhoucke, Vincent ^a,b   Sankar, Ananth ^b  

^a Stanford University   (United States)

^b NUANCE COMMUNICATIONS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INVERSE COVARIANCES;

GAUSSIAN NOISE (ELECTRONIC); INVERSE PROBLEMS; PARAMETER ESTIMATION;

SPEECH RECOGNITION;

EID: 0141813584     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. R. Clarke, "Relation between the Karhunen Loève and cosine transforms," IEE Proceedings, vol. 128, no. 6-F, pp. 359-360, Nov. 1981.
2. T. Eisele, R. Haeb-Umbach, and D. Langmann, "A comparative study of linear feature transformation techniques for automatic speech recognition, " Proceedings of ICSLP 96, 1996.
3. A. Ljolje, "The importance of cepstral parameter correlation in speech recognition," Computer Speech and Language, vol. 8, pp. 223-232, 1994.
4. M.J.F. Gales, "Semi-tied covariance matrices for hidden markov models," IEEE Transactions on Speech and Audio Processing, 1999.
5. J.A. Bilmes, "Factored sparse inverse covariance matrices," Proceedings of ICASSP 00, 2000.
6. P. Olsen and R. Gopinath, "Modeling inverse covariance matrices by basis expansion," Proceedings of ICASSP 02, 2002.
7. S. Axelrod, R. Gopinath, and P. Olsen, "Modeling with a subspace constraint on inverse covariance matrices," Proceedings of ICSLP 02, 2002.
8. A.P. Dempster, N.M. Laird, and D.B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," Journal of the Royal Statistical Society, vol. 39, 110.1, pp. 1-38, 1977.
9. S. Boyd and L. Vandenberghe, Convex Optimization, draft, http://www.stanford.edu/class/ee364/, 2003.
10. R.M. Gray, "Gauss mixtures quantization: clustering gauss mixtures," Proceedings of the MSRI Workshop on Nonlinear Estimation and Classification, 2002.
11. E. Bocchieri and B. Mak, "Subspace distribution clustering hidden markov model.," IEEE Transactions on Speech and Audio Processing, vol. 9, no. 3, pp. 264-275, March 2001.
12. V. Digalakis, P. Monaco, and H. Murveit, "Genones: Generalized mixture tying in continuous hidden markov model-based speech recognizers," IEEE Transactions on Speech and Audio Processing, vol. 4, no. 4, pp. 281-289, 1996.