Probabilistic feature-based transformation for speaker verification over telephone networks

Neurocomputing

Volumn 71, Issue 1-3, 2007, Pages 137-146

  Mak, Man Wai ^a   Yiu, Kwok Kwong ^a   Kung, Sun Yuan ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b Princeton University   (United States)

Author keywords

Biometrics; Channel compensation; EM algorithm; Feature transformation; Speaker verification

Indexed keywords

ALGORITHMS; BIOMETRICS; COMPUTATIONAL COMPLEXITY; SIGNAL DISTORTION; TELECOMMUNICATION NETWORKS;

CHANNEL COMPENSATION; FEATURE TRANSFORMATION; SPEAKER VERIFICATION;

INTELLIGENT SYSTEMS;

ANALYTICAL ERROR; ARTICLE; AUTOMATIC SPEECH RECOGNITION; CONTROLLED STUDY; HUMAN; HUMAN EXPERIMENT; INTERMETHOD COMPARISON; NORMAL DISTRIBUTION; NORMAL HUMAN; PERFORMANCE; PRIORITY JOURNAL; PROBABILITY; STOCHASTIC MODEL; TELEPHONE;

EID: 34548206114     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.08.003     Document Type: Article

References (20)

1. Atal B.S. Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification. J. Acoust. Soc. Am. 55 6 (1974) 1304-1312
2. F. Beaufays, M. Weintraub, Model transformation for robust speaker recognition from telephone data, in: Proceedings of ICASSP'97, 1997, pp. 21-24.
3. Davis S.B., and Mermelstein P. Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans. ASSP 28 4 (1980) 357-366
4. Dempster A.P., Laird N.M., and Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Statist. Soc. Ser. B. 39 1 (1977) 1-38
5. L. Gillick, S. Cox, Some statistical issues in the comparison of speech recognition algorithms, in: Proceedings of ICASSP'89, 1989, pp. 532-535.
6. L.P. Heck, Y.Konig, M.K. Sonmez, M.Weintraub, Robustness to telephone handset distortion in speaker recognition by discriminative feature design, in: Speech Communication, vol. 31, 2000, pp. 181-192.
7. Hermansky H., and Morgan N. RASTA processing of speech. IEEE Trans. Speech Audio Process. 2 4 (1994) 578-589
8. Kung S.Y., Mak M.W., and Lin S.H. Biometric Authentication: A Machine Learning Approach (2005), Prentice-Hall, Upper Saddle River, NJ
9. J. Pelecanos, S. Sridharan, Feature warping for robust speaker verification, in: Proceedings of Speaker Odyssey, 2001, pp. 213-218.
10. Quatieri T.F., Reynolds D.A., and O'Leary G.C. Estimation of handset nonlinearity with application to speaker recognition. IEEE Trans. Speech Audio Process. 8 5 (2000) 567-584
11. D.A. Reynolds, Comparison of background normalization methods for text-independent speaker verification, in: Proceedings of Eurospeech'97, 1997, pp. 963-966.
12. D.A. Reynolds, Channel robust speaker verification via feature mapping, in: IEEE ICASSP, vol. 2, 2003, pp. 6-10.
13. Reynolds D.A., Quatieri T.F., and Dunn R.B. Speaker verification using adapted Gaussian mixture models. Digital Signal Process. 10 (2000) 19-41
14. Sankar A., and Lee C.H. A maximum-likelihood approach to stochastic matching for robust speech recognition. IEEE Trans. Speech Audio Process. 4 3 (1996) 190-202
15. Surendran A.C., Lee C.H., and Rahim M. Nonlinear compensation for stochastic matching. IEEE Trans. Speech Audio Process. 7 6 (1999) 643-655
16. The NIST year 2000 speaker recognition evaluation plan, in: 〈http://www.nist.gov/speech/tests/spk/2000/doc〉.
17. Weiss M.A. Data Structures and Algorithm Analysis in C (1993), Benjamin/Cummings Pub. Company, Inc.
18. B. Xiang, U. Chaudhari, J. Navratil, G. Ramaswamy, R. Gopinath, Short-time Gaussianization for robust speaker verification, in: Proceedings of ICASSP'02, vol. 1, 2002, pp. 681-684.
19. Yiu K.K., Mak M.W., Cheung M.C., and Kung S.Y. Blind stochastic feature transformation for channel robust speaker verification. J. VLSI Signal Process. 42 2 (2006) 117-126
20. Yiu K.K., Mak M.W., and Kung S.Y. Environment adaptation for robust speaker verification by cascading maximum likelihood linear regression and reinforced learning. Comput. Speech Language 21 (2007) 231-246