Kernel combination for SVM speaker verification

Odyssey 2008: Speaker and Language Recognition Workshop

Volumn , Issue , 2008, Pages

  Dehak, Réda ^a   Dehak, Najim ^b,c   Kenny, Patrick ^b   Dumouchel, Pierre ^b,c  

^a EPITA RESEARCH AND DEVELOPMENT LABORATORY LRDE   (France)

^b Cent de Recherche Informatique de Montreal   (Canada)

^c ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

SUPPORT VECTOR MACHINES;

COMBINATION METHOD; GAUSSIAN MIXTURE MODEL; LINEAR COMBINATIONS; LINEAR DISCRIMINANTS; LOGISTIC REGRESSIONS; SCORE-LEVEL FUSION; SPEAKER RECOGNITION EVALUATIONS; SPEAKER VERIFICATION;

SPEECH RECOGNITION;

EID: 85084017409     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. W.M. Campbell, D.A. Reynolds, and J.P. Campbell, “Fusing Discriminative and Generative Methods for Speaker Recognition: Experiments on Switchboard and NFI/TNO Field Data,” in Speaker Odyssey, Toledo, Spain, June 2004, pp. 41–44.
2. A. Stolcke, E. Shriberg, L. Ferrer, S. Kajarekar, K. Son-mez, and G. Tur, “Speech Recognition as Feature Extraction for Speaker Recognition,” in Workshop on Signal Processing Applications for Public Security and Forensics, Washington, D.C., 2007, pp. 39–43.
3. P. Matejka, L. Burget, P. Schwarz, O. Glembek, M. Karaflat, F. Grezl, J. Cernocky, D.A. van leeuwen, N. Brummer, and A. Strasheim, “STBU System for the NIST 2006 Speaker Recognition Evaluation,” in ICASSP, Hawaii, USA, 2007.
4. N. Brummer, L. Burget, J.H. Cernocky, O. Glembek, F. Grezl, M. Karaat, D.A. Van Leeuwen, P. Matejka, P. Schwarz, and A. Strasheim, “Fusion of Heterogeneous Speaker Recognition Systems in the STBU Submission for the NIST Speaker Recognition Evaluation 2006,” IEEE Trans. On Audio, Speech and Language Processing, vol. 15, no. 7, pp. 2072–2084, september 2007.
5. W.M. Campbell, D.E. Sturim, W. Shen, D.A. Reynolds, and J. Navratil, “The MIT-LL/IBM 2006 Speaker Recognition System: High-Performance Reduced-Complexity Recognition,” in ICASSP, Hawaii, USA, 2007.
6. S.S. Kajarekar, “Four Weightings and a Fusion: A Cepstral-SVM System for Speaker Recognition,” in Proc. IEEE Speech Recognition and Understanding Workshop, San Juan, Puerto Rico, 2005, pp. 17–22.
7. J. Shawe-Taylor and N. Cristianini, Kernel Methods for Pattern Analysis, Cambrige, 2004.
8. G.R.G. Lanckriet, N. Cristianini, P. Bartlett, L. El Ghaoui, and M.I. Jordan, “Learning the Kernel Matrix with Semidefinite Programming,” Journal of Machine Learning Reasearch, vol. 5, pp. 27–72, 2004.
9. J.F. Sturm, “Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones,” Optimization Methods and Software, vol. 11–12, pp. 625–653, 1999, Special issue on Interior Point Methods (CD supplement with software).
10. E.D. Andersen and A.D. Andersen, “The MOSEK Interior Point Optimizer for Linear Programming: An Implementation of the Homogeneous Algorithm,” in High Performance Optimization, H. Frenk, K. Roos, T. Terlaky, and S. Zhang, Eds. 2000, pp. 197–232, Kluwer Academic Publishers.
11. M. Schmidt and H. Gish, “Speaker Identification via Support Vector Machines,” in IEEE-ICASSP, 1996, pp. 105–108.
12. W.M. Campbell, “Generalized Linear Discriminant Sequence Kernels for Speaker Recognition,” in IEEE-ICASSP, 2002, vol. 1, pp. 161–164.
13. J. Louradour and K. Daoudi, “SVM Speaker Verification using an Incomplete Cholesky Decomposition Sequence Kernel,” in Odyssey, 2006.
14. P.J. Moreno, P.P. Ho, and N. Vasconcelos, “A Generative Model Based Kernel for SVM Classification in Multimedia Applications,” in NIPS, 2003.
15. W.M. Campbell, D.E. Sturim, D.A. Reynolds, and A. Solomonoff, “SVM Based Speaker Verification using a GMM Supervector Kernel and NAP Variability Compensation,” in ICASSP, 2006, vol. 1, pp. 97–100.
16. N. Dehak and G. Chollet, “Support Vector GMMs for Speaker Verification,” in IEEE Odyssey, San Juan, Puerto Rico, 2006.
17. M.N. Do, “Fast Approximation of Kullback-Leibler Distance for Dependence Trees and Hidden Markov Models,” IEEE Signal Processing Letters, pp. 115–118, 2003.
18. M. Ben and F. Bimbot, “D-MAP: a Distance-Normalized MAP Estimation of Speaker Models for Automatic Speaker Verification,” in ICASSP, 2003, vol. 2, pp. 69–72.
19. A. Solomonoff, W.M. Campbell, and I. Boardman, “Advances in Channel Compensation For SVM Speaker Recognition,” in ICASSP, 2005, vol. 1, pp. 629–632.
20. W.M. Campbell, J.P. Campbell, T.P. Gleason, D.A. Reynolds, and W. Shen, “Speaker verification using support vector machines and high-level features,” IEEE Trans. on Audio, Speech and Language Processing, vol. 15, no. 7, pp. 2085–2094, September 2007.
21. R. Dehak, N. Dehak, P. Kenny, and P. Dumouchel, “Linear and Non Linear Kernel GMM SuperVector Machines for Speaker Verification,” in Interspeech, Antwerp, Belgium, 2007.