Rapid discriminative acoustic model based on eigenspace mapping for fast speaker adaptation

IEEE Transactions on Speech and Audio Processing

Volumn 13, Issue 4, 2005, Pages 554-563

  Zhou, Bowen ^a,b   Hansen, John H L ^a,c  

^a UNIVERSITY OF COLORADO   (United States)

^b IBM   (United States)

^c UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

Discriminative acoustic model; Eigenspace mapping; Hidden markov models; Rapid speaker adaptation; Speech recognition

Indexed keywords

ADAPTIVE ALGORITHMS; CORRELATION METHODS; EIGENVALUES AND EIGENFUNCTIONS; MARKOV PROCESSES; MATHEMATICAL MODELS; SPEECH RECOGNITION;

DISCRIMINATIVE ACOUSTIC MODEL; EIGENSPACE MAPPING; HIDDEN MARKOV MODELS; RAPID SPEAKER ADAPTATION;

ACOUSTICS;

EID: 22544443963     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSA.2005.845808     Document Type: Article

References (33)

1. S. M. Ahadi and P. C. Woodland, "Combined bayesian and predictive techniques for rapid speaker adaptation of continuous density hidden Markov models," Comput. Speech Lang., vol. 11, pp. 187-206, 1997.
2. M. Blomberg, "Within-utterance correlation for speech recognition," in Proc. Eurospeech, Budapest, Hungary, 1999, pp. 2479-2482.
3. W. Byrne and A. Gunawardana, "Discounted likelihood linear regression for rapid speaker adaptation," in Proc. Eurospeech, Budapest, Hungary, 1999, pp. 203-206.
4. S. Chen and P. Gopalakrishnan, "Speaker, environment and channel change detection and clustering via the Bayesian information criterion," in Proc. Broadcast News Transcription Understanding Workshop, Feb. 1998, pp. 127-132.
5. C. Chesta, O. Siohan, and C. H. Lee, "Maximum a posterior linear regression for hidden Markov model adaptation," in Proc. Eurospeech, Budapest, Hungary, 1999, pp. 203-206.
6. W. Chou, "Maximum a posterior linear regression with elliptically symmetric matrix priors," in Proc. Eurospeech, Budapest, Hungary, 1999, pp. 1-4.
7. A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood estimation from incomplete data via the EM algorithm," J. R. Statist. Soc., vol. B39, pp. 1-38, 1977.
8. K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd ed. New York: Academic, 1990.
9. S. Furui, "Speaker-independent isolated word recognition using dynamic features of speech spectrum," IEEE Trans. Acoust., Speech, Signal Process., vol. 34, no. 1, pp. 52-59, 1986.
10. M. J. F. Gales, "Semi-tied covariance matrices for hidden Markov models," IEEE Trans. Acoust., Speech, Signal Process., vol. 7, no. 3, 1999.
11. J. L. Gauvain and C. H. Lee, "Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains," IEEE Trans. Speech Audio Process., vol. 2, pp. 291-298, Apr. 1994.
12. N. C. Giri, Multivariate Statistical Analysis. New York: Marcel Dekker, 1995, ch. 10.
13. R. Gopinath, "Maximum likelihood modeling with Gaussian distributions for classification," in Proc. ICASSP, Seattle, WA, 1998.
14. J. H. L. Hansen, P. Angkititrakul, J. Plucienkowski, S. Gallant, U. Yapanel, B. Pellom, W. Ward, and R. Cole, "CU-move: Analysis & corpus development for interactive in-vehicle speech systems," in Proc. Eurospeech, Aalborg, Denmark, Sep. 2001.
15. Z. Hu, "Understanding and Adapting to Speaker Variability using Correlation-Based Principal Component Analysis," Ph.D. dissertation, Oregon Graduate Institute of Science and Technology, Portland, 1999.
16. S. Johnson, "Speaker Tracking," M.S. thesis, Univ. Cambridge, Cambridge, U.K., 1997.
17. R. Kuhn, P. Nguyen, J. C. Junqua, L. Goldwasser, N. Niedzielski, S. Fincke, K. Field, and M. Contolini, "EigenVoices for speaker adaptation," in Proc. ICSLP, Sydney, Australia, Nov. 1998.
18. R. Kuhn, F. Perronnin, P. Nguyen, J.-C. Junqua, and L. Rigazio, "Very fast adaptation with a compact context-dependent eigenvoice model," in Proc. ICASSP, Salt Lake City, UT, May 2001.
19. N. Kumar, "Investigation of Silicon-Auditory Models and Generalization of Linear Discriminant Analysis for Improved Speech Recognition," Ph.D. dissertation, Johns Hopkins Univ., Baltimore, MD, 1997.
20. C. Leggetter and P. Woodland, "Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models," Comput. Speech Lang., vol. 9, pp. 171-185, 1995.
21. L. R. Neumeyer, A. Sankar, and V. V. Digalakis, "A comparative study of speaker adaptation techniques," in Proc. Eurospeech, 1995, pp. 1127-1130.
22. Invariance and Variability in Speech Processes, J. S. Perkell and D. H. Klatt, Eds., Lawrence Erlbaum, Princeton, NJ, 1986.
23. P. Placeway, S. Chen, M. Eskenazi, U. Jain, V. Parikh, B. Raj, M. Ravishankar, R. Rosenfeld, K. Seymore, M. Siegler, R. Stern, and E. Thayer, "The 1996 hub-4 sphinx-3 system," in Proc. DARPA Speech Recognition Workshop, 1997.
24. G. Saon, M. Padmanabhan, R. Gopinath, and S. Chen, "Maximum likelihood discriminant feature spaces," in Proc. ICASSP, Istanbul, Turkey, Jun. 2000.
25. K. Shinoda and C. H. Lee, "Structural MAP speaker adaptation using hierarchical priors," in Proc. IEEE Workshop on Automatic Speech Recognition and Understanding, Santa Barbara, CA, 1997, pp. 381-388.
26. O. Siohan, T. A. Myrvoll, and C. H. Lee, "Structural maximum a posteriori linear regression for fast HMM adaptation," Comput. Speech Lang., vol. 16, no. 1, pp. 5-24, Jan. 2002.
27. R. J. Westwood, "Speaker Adaptation using Eigenvoices," M.Phil, thesis, Univ. Cambridge, Cambridge, U.K., 1999.
28. K. Wong and B. Mak, "Rapid speaker adaptation using MLLR and subspace regression classes," in Proc. Eurospeech, Aalborg, Denmark, Sep. 2001.
29. P. C. Woodland, "Speaker adaptation: Techniques and challenges," in Proc. IEEE Workshop on Automatic Speech Recognition & Understanding, Keystone, CO, 1999, pp. 85-90.
30. B. Zhou and J. H. L. Hansen, "A novel algorithm for rapid speaker adaptation based on structural maximum likelihood eigenspace mapping," in Proc. Eurospeech, vol. 2, Aalborg, Denmark, Sep. 2001, pp. 1215-1218.
31. _, "Improved structural maximum likelihood eigenspace mapping for speaker adaptation," in Proc. ICSLP'2002, Denver, CO, 2002, pp. 1433-14367.
32. _, "SpeechFind: An experimental on-line spoken document retrieval system for historical audio archives," in Proc. ICSLP'2002, vol. 3, Denver, CO, 2002, pp. 1969-1972.
33. _, "Unsupervised audio stream segmentation and clustering via the Bayesian information criterion," in Proc. ICSLP'2000, Beijing, China, Oct. 2000, pp. 714-717.