Classification methods for speaker recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4343 LNAI, Issue , 2007, Pages 278-297

  Sturim, D E ^a   Campbell, W M ^a   Reynolds, D A ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; SPEECH RECOGNITION;

AUTOMATIC SPEAKER RECOGNITION SYSTEMS; SPEAKER CHARACTERIZATION; SPEAKER RECOGNITION; SPEECH SCIENCE;

SPEECH ANALYSIS;

EID: 36249031961     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74200-5_16     Document Type: Article

References (57)

1. Davis, S.B., Mermelstein, P.: Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans. Acoust. Speech, Signal Processing, ASSP 28(4), 357-366 (1980)
2. Quatieri, T.: Discrete-Time Speech Signal Processing: Principles and Practice. Prentice-Hall, Englewood Cliffs (2001)
3. Reynolds, D.A., Quatieri, T.F., Dunn, R.: Speaker verification using adapted Gaussian mixture models. Digital Signal Processing 10(1-3), 19-41 (2000)
4. Tierney, J.: A study of LPC analysis of speech in additive noise. IEEE Trans. Acoust., Speech, Signal Processing, ASSP 28(4), 389-397 (1980)
5. Rabiner, L., Juang, B.-H.: Fundamentals of Speech Recognition. Prentice-Hall, Englewood Cliffs (1993)
6. Adami, A., Mihaescu, R., Reynolds, D.A., Godfrey, J.J.: Modeling prosodie dynamics for speaker recognition. In: Proc. ICASSP, pp. IV-788-IV-791 (2003)
7. Peskin, B., Navratil, J., Abramson, J., Jones, D., Klusacek, D., Reynolds, D., Xiang, B.: Using prosodic and conversational features for high-performance speaker recognition: Report from JHU workshop. In: Proc. ICASSP (2003)
8. Doddington, G.: Speaker recognition based on idiolectal differences between speakers. In: Proc. Eurospeech, pp. 2521-2524 (2001)
9. Navrátil, J., Jin, Q., Andrews, W.D., Campbell, J.P.: Phonetic speaker recognition using maximum-likelihood binary-decision tree models. In: Proc. ICASSP, pp. IV-796-IV-799 (2003)
10. Matsui, T., Furui, S.: Concatenated phoneme models for text-variable speaker recognition. In: Proc. ICASSP, vol. II, pp. 391-394 (1993)
11. Campbell, W.M., Campbell, J.P., Reynolds, D.A., Jones, D.A., Leek, T.R.: Phonetic speaker recognition with support vector machines. In: Thrun, S., Saul, L., Schölkopf, B. (eds.) Advances in Neural Information Processing Systems 16, MIT Press, Cambridge (2004)
12. Andrews, W.D., Kohler, M.A., Campbell, J.P., Godfrey, J.J., Hernandez-Cordero, J.: Gender-dependent phonetic refraction for speaker recognition. In: Proc. ICASSP, pp. I149-I153 (2002)
13. Bimbot, F., Bonastre, J.-F., Fredouille, C., Gravier, G., Meignier, S., Merlin, T., Ortega-Garc, J., Magrin-Chagnolleau, I., Petrovska-Delacretaz, D., Reynolds, D.A.: A tutorial on text-independent speaker verication. EURASIP Journal on Applied Signal Processing 4, 430-451 (2004)
14. Reynolds, D.A.: Speaker identification and verification using gaussian mixture speaker models. Speech Commun. 17(1-2), 91-108 (1995)
15. Carey, M., Parris, E., Bridle, J.: A speaker verification system using alpha-nets. In: Proc. ICASSP (1991)
16. Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society 39, 1-38 (1977)
17. Gauvain, J.-L., Lee, C.-H.: Maximum a posteriori estimation for multivariate Gaussian mixture observations of markov chains. IEEE Trans. Speech and Audio Processing 2(2), 291-298 (1994)
18. Duda, R.O., Hart, P.E.: Pattern Classification and Scene Analysis. Wiley and Sons, New York (1973)
19. Soong, F., Rosenberg, A., Rabiner, L., Juang, B.: A vector quantization approach to speaker recognition. In: Proc. ICASSP, pp. 387-390 (1985)
20. Rosenberg, A., Soong, F.: Evaluation of a vector quantization talker recognition system in text independent and text dependent modes. In: Proc. ICASSP, pp. 873-876 (1986)
21. Campbell, W.M.: Generalized linear discriminant sequence kernels for speaker recognition. In: Proc. ICASSP, pp. 161-164 (2002)
22. Fine, S., Navrátil, J., Gopinath, R.A.: A hybrid GMM/SVM approach to speaker recognition. In: Proc. ICASSP (2001)
23. Wan, V., Renals, S.: SVMSVM: support vector machine speaker verification methodology. In: Proc. ICASSP, pp. 221-224 (2003)
24. Campbell, W.M., Campbell, J.P., Reynolds, D.A., Jones, D.A., Leek, T.R.: High-level speaker verification with support vector machines. In: Proc. ICASSP, pp. I-73-76 (2004)
25. Stolcke, A., Ferrer, L., Kajarekar, S., Shriberg, E., Venkataraman, A.: MLLR transforms as features in speaker recognition. In: Proc. Interspeech, pp. 2425-2428 (2005)
26. Campbell, W.M., Sturim, D.E., Reynolds, D.A., Solomonoff, A.: SVM based speaker verification using a GMM supervector kernel and NAP variability compensation. In: Proc. ICASSP, pp. I-97-I-100 (2006)
27. Cristianini, N., Shawe-Taylor, J.: Support Vector Machines. Cambridge University Press, Cambridge (2000)
28. Collobert, R., Bengio, S.: SVMTorch: Support vector machines for large-scale regression problems. Journal of Machine Learning Research 1, 143-160 (2001)
29. Louradour, J., Daoudi, K., Bach, F.: SVM speaker verification using an incomplete cholesky decomposition sequence kernel. In: IEEE 2006 Odyssey: The Speaker and Language Recognition Workshop (2006)
30. Mariéthoz, J., Bengio, S.: A max kernel for text-independent speaker verification systems. In: Second Workshop on Multimodal User Authentication (2006)
31. Soong, F.K., Rosenberg, A.E.: On the use of instantaneous and transitional spectral information in speaker recognition. In: Proc. ICASSP, pp. 877-880 (1986)
32. Matsui, T., Furui, S.: Speaker recognition using concatenated phoneme models. In: Proc. ICSLP (1992)
33. Rosenberg, A.E., Parthasarathy, S.: Speaker background models for connected digit password speaker verification. In: Proc. ICASSP, pp. 81-84 (1996)
34. Corrada-Emmanuel, A., Newman, M., Peskin, B., Gillick, L., Roth, R.: Progress in speaker recognition at dragon systems. In: Proc. ICSLP (1998)
35. Weber, F., Peskin, B., Newman, M., Corrada-Emmanuel, A., Gillick, L.: Speaker recognition on single- and multispeaker data. Digital Signal Processing 10, 75-92 (2000)
36. Rabiner, L.R., Juang, B.H.: An introduction to hidden markov models. IEEE ASSP Mag. 3 (1986)
37. Rabiner, L.R.: A tutorial on hidden Markov models and selected applications in speech recognition. Proc. of the IEEE 77(2), 257-285 (1989)
38. Campbell, J.P.: Speaker recognition: A tutorial. Proc. of the IEEE 85(9), 1437-1462 (1997)
39. Newman, M., Gillick, L., Ito, Y., McAllaster, D., Peskin, B.: Speaker verification through large vocabulary continuous speechrecognition. In: Proc. ICSLP (1996)
40. Matsui, T., Furui, S.: Likelihood normalization for speaker verification using phoneme- and speaker-independent model. In: Speech Communication (1995)
41. Farrell, K.R., Mammone, R.J., Assaleh, K.T.: Speaker recognition using neural networks and conventional classifiers. IEEE Trans. on Speech and Audio Processing 2(1), 194-205 (1994)
42. Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press, Oxford (1995)
43. Oglesby, J., Mason, J.: Radial basis function networks for speaker recognition. In: Proc. ICASSP, pp. 393-396 (May 1991)
44. Hermansky, H., Morgan, N., Bayya, A., Kohn, P.: Compensation for the effect of communication channel in auditory-like analysis of speech (RASTA-PLP). In: Proc. Eurospeech, pp. 1367-1371 (1991)
45. Atal, B.: Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification. Journal of the Acoustical Society of America 55(6), 1304-1312 (1974)
46. Mansour, D., Juang, B.: A family of distortion measures based upon projection operation for robust speech recognition. IEEE Trans. Acoust., Speech, Signal Processing, ASSP 37, 1659-1671 (1989)
47. Pelecanos, J., Sridharan, S.: Feature warping for robust speaker verification. In: Proc. of Speaker Odyssey Workshop, pp. 213-218 (2001)
48. Reynolds, D.A.: Channel robust speaker verification via feature mapping. In: Proc. ICASSP, vol. 2, pp. 11-53-56 (2003)
49. Teunen, R., Shahshahani, B., Heck, L.: A model-based transformational approach to robust speaker recognition. In: Proc. ICSLP (2000)
50. Kenny, P., Boulianne, G., Dumouchel, P.: Eigenvoice modeling with sparse training data. IEEE Trans. Speech and Audio Processing 13(3), 345-354 (2005)
51. Vogt, R., Baker, B., Sriharan, S.: Modelling session variability in text-independent speaker verification. In: Proc. Interspeech, pp. 3117-3120 (2005)
52. Solomonoff, A., Campbell, W.M., Boardman, I.: Advances in channel compensation for SVM speaker recognition. In: Proc. ICASSP (2005)
53. Auckenthaler, R., Carey, M., Lloyd-Thomas, H.: Score normalization for text-independent speaker verification systems. Digital Signal Processing 10, 42-54 (2000)
54. Reynolds, D.A.: Comparison of background normalization methods for text independent speaker verification. In: Proc. Eurospeech, pp. 963-966 (1997)
55. Heck, L., Weintraub, M.: Handset-dependent background models for robust text-independent speaker recognition. In: Proc. ICASSP, pp. 1071-1074 (1997)
56. Campbell, W.M., Navratil, J., Reynolds, D.A., Shen, W., Sturim, D.E.: The MIT/IBM 2006 speaker recognition system:High-performance reduced complexity recognition. In: ICASSP (2007)
57. Reynolds, D.A., Campbell, W., Gleason, T., Quillen, C., Sturim, D., Torres-Carrasquillo, P., Adam, A.: The 2004 MIT Lincoln Laboratory speaker recognition system. In: ICASSP (2005)