Acoustic hole filling for sparse enrollment data using a cohort universal corpus for speaker recognition

Journal of the Acoustical Society of America

Volumn 131, Issue 2, 2012, Pages 1515-1528

  Suh, Jun Won ^a   Hansen, John H L ^a  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC MODEL; AUDIO STREAM; EIGENVOICES; GAUSSIAN MIXTURE MODEL; HOLE FILLING; HUMAN LISTENERS; MACHINE PERFORMANCE; ORIGINAL SYSTEMS; SIMILARITY MEASUREMENTS; SPEAKER MODEL; SPEAKER MODELING; SPEAKER RECOGNITION; TEST DURATION; TEST MATERIALS;

ACOUSTICS; PHYSICS;

SPEECH RECOGNITION;

ALGORITHM; ARTICLE; HUMAN; PHONETICS; PHYSIOLOGY; RECOGNITION; SOUND DETECTION; SPEECH; SPEECH PERCEPTION;

ALGORITHMS; HUMANS; PHONETICS; RECOGNITION (PSYCHOLOGY); SOUND SPECTROGRAPHY; SPEECH ACOUSTICS; SPEECH PERCEPTION;

EID: 84857425027     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.3672707     Document Type: Article

References (34)

1. Angkititrakul, P., and Hansen, J. H. L. (2007). Discriminative in-set/out-of-set speaker recognition., IEEE Trans. Audio, Speech, Lang. Process. 15, 498-508. 10.1109/TASL.2006.881689
2. Burges, C. (1998). A tutorial on support vector machines for pattern recognition., Data Min. Knowl. Discov. 2, 121-167. 10.1023/A:1009715923555
3. Cieri, C., Miller, D., and Walker, K. (2004). The fisher corpus: A resource for the next generations of speech-to-text., in Fourth International Conference on Language Resources and Evaluation May 2004, Lisbon, Portugal, Vol. 1, pp. 1-3.
4. Furui, S. (1997). Recent Advances in Speaker Recognition (Springer, Berlin, Germany), pp. 235-252.
5. Gauvain, J., and Lee, C. (1994). Maximum a posteriori estimation for multivariate Gaussian mixture observations of markov chains., IEEE Trans. Speech Audio Process. 2, 291-298. 10.1109/89.279278
6. Gish, H., and Schmidt, M. (1994). Text-independent speaker identification., IEEE Signal Process. Mag. 11, 18-32. 10.1109/79.317924
7. Greenberg, G., Martin, A., Brandschain, L., Campbell, J., Cieri, C., Doddington, G., and Godfrey, J. (2010). Human assisted speaker recognition in NIST SRE10., in Odyssey 2010, Brno, Czech Republic, pp. 180-185.
8. Hansen, J. H. L., Huang, R., Zhou, B., Seadle, M., Deller, J., Gurijala, A., Kurimo, M., and Angkititrakul, P. (2005). Speechfind: advances in spoken document retrieval for a national gallery of the spoken word., IEEE Trans. Speech Audio Process. 13, 712-730. 10.1109/TSA.2005.852088
9. Hansen, J. H. L., Plucienkowski, J., Gallant, S., Pellom, B., and Ward, W. (2000). CU-move: Robust speech processing for in-vehicle speech systems., in ICSLP 2000, Beijing, China, pp. 524-527.
10. Huber, P. (1965). A robust version of the probability ratio test., Ann Math. Stat. 36, 1753-1758. 10.1214/aoms/1177699803
11. Kenny, P., Boulianne, G., and Dumouchel, P. (2005). Eigenvoice modeling with sparse training data., IEEE Trans. Audio, Speech, Lang. Proc. 13, 345-354. 10.1109/TSA.2004.840940
12. Kenny, P., Boulianne, G., Ouellet, P., and Dumouchel, P. (2007). Speaker and session variability in GMM-based speaker verification., IEEE Trans. Audio, Speech, Lang. Process. 15, 1448-1460. 10.1109/TASL.2007.894527
13. Kressel, U., and Schurmann, J. (1997). Pattern Classification Techniques Based on Function Approximation, (World Scientific Publishing, MA), pp. 49-78.
14. Kuhn, R., Junqua, J., Nguyen, P., and Niedzielski, N. (2000). Rapid speaker adaptation in Eigenvoice space., IEEE Trans. Speech Audio Process. 8, 695-707. 10.1109/89.876308
15. Kullback, S., and Leibler, R. (1951). On information and sufficiency., Ann. Math. Stat. 22, 79-86. 10.1214/aoms/1177729694
16. Lamel, L., and Gauvain, J. (1993). High performance speaker-independent phone recognition using CDHMM., in EUROSPEECH 1993, Berlin, Germany, pp. 121-124.
17. Lee, K., and Hon, H. (1989). Speaker-independent phone recognition using hidden Markov models., IEEE Trans. Acoust., Speech, Signal Process. 37, 1641-1648. 10.1109/29.46546
18. Li, Q., Juang, B., Lee, C., Zhou, Q., and Soong, F. (2003). Speaker Authentication (CRC Press, New York), pp. 229-259.
19. Ma, B., Zhu, D., Tong, R., and Li, H. (2006). Speaker cluster based GMM tokenization for speaker recognition., in INTERSPEECH 2006, Pittsburgh, PA, Vol. 1, pp. 505-508.
20. Mak, M., Hsiao, R., and Mak, B. (2006). A comparison of various adaptation methods for speaker verification with limited enrollment data., in ICASSP 2006, Toulouse, France, Vol. 1, pp. 929-932.
21. Matrouf, D., Bellot, O., Nocera, P., Linares, G., and Bonastre, J. (2003). Structural linear model-space transformations for speaker adaptation., in EUROSPEECH 2003, Geneva, Switzerland, pp. 1625-1628.
22. Mines, M., Hanson, B., and Shoup, J. (1978). Frequency of occurrence of phonemes in conversational English. Lang. Speech 21, 221-241.
23. Mitra, V., Garcia-Romero, D., and Espy-Wilson, C. (2008). Language and genre detection in audio content analysis., INTERSPEECH-2008, Brisbane, Australia, pp. 2506-2509.
24. Pelecanos, J., and Sridharan, S. (2001). Feature warping for robust speaker verification., Proc. Speaker Odyssey 13, 1-5.
25. Prakash, V., and Hansen, J. H. L. (2007). In-set/out-of-set speaker recognition under sparse enrollment., IEEE Trans. Audio, Speech, Lang. Process. 15, 2044-2052. 10.1109/TASL.2007.902058
26. Reynolds, D., Quatieri, T., and Dunn, R. (2000). Speaker verification using adapted gaussian mixture models., Digit. Signal Process. 10, 19-41. 10.1006/dspr.1999.0361
27. Scheffer, N., and Bonastre, J. (2006). A multiclass framework for speaker verification within an acoustic event sequence system., in INTERSPEECH 2006, Pittsburgh, PA, pp. 501-504.
28. Schmidt-Nielsen, A., and Crystal, T. (2000). Speaker verification by human listeners: Experiments comparing human and machine performance using the NIST 1998 Speaker Evaluation Data 1., Digit. Signal Process. 10, 249-266. 10.1006/dspr.1999.0356
29. Schwartz, R., Campbell, J., Shen, W., D., S., Campbell, W., Richardson, F., Dunn, R., and Granville, R. (2010). USSS-MITLL 2010 Human Assisted Speaker Recognition Evaluation System., in NIST SRE Workshop 2010, Brno, Czech Republic, pp. 1-7.
30. Sivakumaran, P., Fortuna, J., and Ariyaeeinia, A. (2003). Score normalisation applied to open-set, text-independent speaker identification., in EUROSPEECH, Geneva, Switzerland, pp. 2669-2672.
31. Soong, F., Rosenberg, A., Rabiner, L., and Juang, L. (1985). A vector quantization approach to speaker recognition., in ICASSP 1985, FL, pp. 387-390.
32. Torres-Carrasquillo, P., Singer, E., Kohler, M., Greene, R., Reynolds, D., and Deller, Jr., J. (2002). Approaches to language identification using Gaussian mixture models and shifted delta cepstral features., in ICSLP 2002, Tampa, FL, pp. 89-92.
33. Wu, W., Zheng, T., Xu, M., and Soong, F. (2007). A cohort-based speaker model synthesis for mismatched channels in speaker verification., IEEE Trans. Audio, Speech, Lang. Process. 15, 1893-1903. 10.1109/TASL.2007.899297
34. Xiang, B., and Berger, T. (2003). Efficient text-independent speaker verification with structural gaussian mixture models and neural network., IEEE Trans. Audio, Speech, Lang. Process. 11, 447-456. 10.1109/TSA.2003.815822