Robust speaker recognition in noisy conditions

IEEE Transactions on Audio, Speech and Language Processing

Volumn 15, Issue 5, 2007, Pages 1711-1723

  Ming, Ji ^a   Hazen, Timothy J ^b   Glass, James R ^c   Reynolds, Douglas A ^b  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b MIT LINCOLN LABORATORY   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Missing feature theory; Multicondition training; Noise compensation; Noise modeling; Speaker recognition

Indexed keywords

MISSING-FEATURE THEORY; MULTICONDITION TRAINING; NOISE COMPENSATION; NOISE MODELING; SPEAKER RECOGNITION;

ACOUSTIC NOISE; BIOMETRICS; LOUDSPEAKERS; POSITION CONTROL;

SPEECH RECOGNITION;

EID: 63249107289     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2007.899278     Document Type: Article

References (51)

1. B. S. Atal, "Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification," J. Acoust. Soc. Amer., vol. 55, pp. 1304-1312, 1974.
2. H. Hermansky and N. Morgan, "RASTA processing of speech," IEEE Trans. Speech Audio Process., vol. 2, no. 4, pp. 578-589, Oct. 1994.
3. D. A. Reynolds, "Experimental evaluation of features for robust speaker identification," IEEE Trans. Speech Audio Process., vol. 2, no. 4, pp. 639-643, Oct. 1994.
4. R. Mammone, X. Zhang, and R. P. Ramachandran, "Robust speaker recognition: A feature-based approach," IEEE Signal Process. Mag., vol. 13, no. 5, pp. 58-71, Sep. 1996.
5. S. van Vuuren, "Comparison of text-independent speaker recognition methods on telephone speech with acoustic mismatch," in Proc. ICSLP'96, Philadelpia, PA, 1996, pp. 1788-1791.
6. Y. Bengio, R. De Mori, G. Flammia, and R. Kompe, "Global optmization of a neural network-hidden markov model hybrid," IEEE Trans. Neural Netw., vol. 3, no. 2, pp. 252-259, Mar. 1992.
7. S. Euler, "Integrated optimization of feature transformation for speech recognition," in Proc. Eurospeech'95, Madrid, Spain, 1995, pp. 109-112.
8. M. Rahim, Y. Bengio, and Y. Lecun, "Discriminative feature and model design for automatic speech recognition," in Proc. Eurospeech' 97, Rhodes, Greece, 1997, pp. 75-78.
9. L. P. Heck, Y. Konig, M. K. Sonmez, and M. Weintraub, "Robustness to telephone handset distortion in speaker recognition by discriminative feature design," Speech Commun., vol. 31, pp. 181-192, 2000.
10. R. Mammone, X. Zhang, and R. P. Ramachandran, "Robust speaker recognition-A feature-based approach," IEEE Signal Process. Mag., vol. 13, no. 5, pp. 58-71, Sep. 1996.
11. T. F. Quatieri, D. A. Reynolds, and G. C. O'Leary, "Magnitude-only estimation of handset nonlinearity with application to speaker recopgnition," in Proc. ICASSP'98, Seattle, WA, 1998, pp. 745-748.
12. J. Pelecanos and S. Sridharan, "Featurewarping for robust speaker verification," in Proc. A Speaker Odyssey-The Speaker RecognitionWorkshop, Crete, Greece, 2001, pp. 213-218.
13. B. Xiang, U. Chaudhari, J. Navratil, G. Ramaswamy, and R. Gopinath, "Short-time Gaussianization for robust speaker verification," in Proc. ICASSP'02, Orlando, FL, 2002, pp. 681-684.
14. D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, "Speaker verification using adapted Gaussian mixture models," Digital Signal Process., vol. 10, pp. 19-41, 2000.
15. C. Barras and J. L. Gauvain, "Feature and score normalization for speaker verification of cellular data," in Proc. ICASSP'03, Hong Kong, China, 2003, pp. 49-52.
16. R. Auckenthaler, M. Carey, and H. Lloyd-Thomas, "Score normalization for text-independent speaker verification systems," Digital Signal Process., vol. 10, pp. 42-54, 2000.
17. H. A. Murthy, F. Beaufays, L. P. Heck, and M. Weintraub, "Robust text-independent speaker identification over telephone channels," IEEE Trans. Speech Audio Process., vol. 7, no. 5, pp. 554-568, Sep. 1999.
18. R. Teunen, B. Shahshahani, and L. P. Heck, "A model-based transformational approach to robust speaker recognition," in Proc. ICSLP'00, Beijing, China, 2000, pp. 495-498.
19. L. F. Lamel and J. L. Gauvain, "Speaker verification over the telephone," Speech Commun., vol. 31, pp. 141-154, 2000.
20. K. K. Yiu, M. W. Mak, and S. Y. Kung, "Environment adaptation for robust speaker verification," in Proc. Eurospeech'03, Geneva, Switzerland, 2003, pp. 2973-2976.
21. J. Ortega-Garcia and L. Gonzalez-Rodriguez, "Overview of speaker enhancement techniques for automatic speaker recognition," in Proc. ICSLP'96, Philadelpia, PA, 1996, pp. 929-932.
22. Suhadi, S. Stan, T. Fingscheidt, and C. Beaugeant, "An evaluation of VTS and IMM for speaker verification in noise," in Proc. Eurospeech' 03, Geneva, Switzerland, 2003, pp. 1669-1672.
23. M. J. F. Gales and S. Young, "HMM recognition in noise using parallel model combination," in Proc. Eurospeech'93, Berlin, Germany, 1993, pp. 837-840.
24. T. Matsui, T. Kanno, and S. Furui, "Speaker recognition using HMM composition in noisy environments," Comput. Speech Lang., vol. 10, pp. 107-116, 1996.
25. L. P. Wong and M. Russell, "Text-dependent speaker verification under noisy conditions using parallel model combination," in Proc. ICASSP'01, Salt Lake City, UT, 2003, pp. 457-460.
26. S. Sagayama, Y. Yamaguchi, S. Takahashi, and J. Takahashi, "Jacobian approach to fast acoustic model adaptation," in Proc. ICASSP'97, Munich, Germany, 1997, pp. 835-838.
27. C. Cerisara, L. Rigaziob, and J.-C. Junqua, "a-Jacobian environmental adaptation," Speech Commun., vol. 42, pp. 25-41, 2004.
28. L. Gonzalez-Rodriguez and J. Ortega-Garcia, "Robust speaker recognition through acoustic array processing and spectral normalization," in Proc. ICASSP'97, Munich, Germany, 1997, pp. 1103-1106.
29. I. McCowan, J. Pelecanos, and S. Scridha, "Robust speaker recognition using microphone arrays," in Proc. A Speaker Odyssey-The Speaker Recognition Workshop, Crete, Greece, 2001, pp. 101-106.
30. A. Drygajlo and M. El-Maliki, "Speaker verification in noisy environment with combined spectral subtraction and missing data theory," in Proc. ICASSP'98, Seattle, WA, 1998, pp. 121-124.
31. L. Besacier, J. F. Bonastre, and C. Fredouille, "Localization and selection of speaker-specific information with statistical modelling," Speech Commun., vol. 31, pp. 89-106, 2000.
32. J. Ming, "Universal compensation-An approach to noisy speech recognition assuming no knowledge of noise," in Proc. ICASSP'04, Montreal, QC, Canada, 2004, pp. I.961-I.964.
33. J. Ming, D. Stewart, and S. Vaseghi, "Speaker identification in unknown noisy conditions-A universal compensation approach," in Proc. ICASSP'05, Philadelphia, PA, 2005, pp. 617-620.
34. H. Bourlard and S. Dupont, "A new ASR approach based on independent processing and recombination of partial frequency bands," in Proc. ICSLP'96, Philadelpia, PA, 1996, pp. 426-429.
35. H. Hermansky, S. Tibrewala, and M. Pavel, "Towards ASR on partially corrupted speech," in Proc. ICSLP'96, Philadelpia, PA, 1996, pp. 462-465.
36. R. P. Lippmann, E. A. Martin, and D. B. Paul, "Multi-style training for robust isolated-word speech recognition," in Proc. ICASSP'87, Dallas, TX, 1987, pp. 705-708.
37. L. Deng, A. Acero, M. Plumpe, and X.-D. Huang, "Large-vocabulary speech recognition under adverse acoustic environments," in Proc. ICSLP'00, Beijing, China, 2000, pp. 806-809.
38. J. Ming, P. Jancovic, and F. J. Smith, "Robust speech recognition using probabilistic union models," IEEE Trans. Speech Audio Process., vol. 10, no. 6, pp. 403-414, Sep. 2002.
39. J. Ming, J. Lin, and F. J. Smith, "A posterior union model with applications to robust speech and speaker recognition," EURASIP J. Appl. Signal Process., vol. 2006, pp. 1-12, 2006, Article ID 75390.
40. D. A. Reynolds, "HTIMIT and LLHDB: Speech corpora for the study of handset transducer effects," in Proc. ICASSP'97,Munich, Germany, 1997, pp. 1535-1538.
41. D. A. Reynolds, "Speaker identification and verification using Gaussian mixture speaker models," Speech Commun., vol. 17, pp. 91-108, 1995.
42. K. L. Brown and E. B. George, "CTIMIT: A speech corpus for the cellular environment with applications to automatic speech recognition," in Proc. ICASSP'95, Detroit, MI, 1995, pp. 105-108.
43. C. Jankowski, A. Kalyanswamy, S. Basson, and J. Spitz, "NTIMIT: A phonetically balanced, continuous speech telephone bandwidth speech database," in Proc. ICASSP'90, Albuquerque, NM, 1990, pp. 109-112.
44. K. P. Markov and S. Nakagawa, "Text-independent speaker recognition using non-linear frame likelihood transformation," Speech Commun., vol. 24, pp. 193-209, 1998.
45. C. Nadeu, J. Hernando, and M. Gorricho, "On the decorrelation of the filter-bank energies in speech recognition," in Proc. Eurospeech'95, Madrid, Spain, 1995, pp. 1381-1384.
46. K. K. Paliwal, "Decorrelated and liftered filter-bank energies for robust speech recognition," in Proc. Eurospeech'99, Budapest, Hungary, 1999, pp. 85-88.
47. J.-C. Junqua, "The Lombard reflex and its role on human listeners and automatic speech recognizer," J. Acoust. Soc. Amer., vol. 93, pp. 510-524, 1993.
48. J. H. L. Hansen, "Analysis and compensation of speech under stress and noise for environmental robustness in speech recognition," Speech Commun., vol. 20, pp. 151-173, 1996.
49. D. Giuliani, M. Omologo, and P. Svaizer, "Experiments of speech recognition in a noisy and reverberant environment using a microphone array and HMM adaptation," in Proc. ICSLP'96, Trento, Italy, 1996, pp. 1329-1332.
50. R. Woo, A. Park, and T. J. Hazen, "The MIT mobile device speaker verification corpus: Data collection and preliminary experiments," in Proc. IEEE Odyssey 2006-The Speaker and Language Recognition Workshop, San Juan, Puerto Rico, 2006, pp. 1-6[Online]. Available: http://groups.csail. mit.edu/sls/mdsvc
51. J. Ming, T. J. Hazen, and J. R. Glass, "Speaker verification over handheld devices with realistic noisy speech data," in Proc. ICASSP'06, Toulouse, France, 2006, pp. 637-640.