SVM speaker verification using session variability modelling and GMM supervectors

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

Volumn 4642 LNCS, Issue , 2007, Pages 1077-1084

  McLaren, M ^a   Vogt, R ^a   Sridharan, S ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; SUPPORT VECTOR MACHINES; VERIFICATION;

SESSION VARIABILITY MODELING; SPEAKER MODEL TRAINING; SUPERVECTORS;

SPEECH RECOGNITION;

EID: 37849028657     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74549-5_112     Document Type: Conference Paper

References (14)

1. Reynolds, D.A., Quatieri, T.F., Dunn, R.B.: Speaker Verification Using Adapted Gaussian Mixture Models. Digital Signal Processing 10(1), 19-41 (2000)
2. Gauvain, J.L., Lee, C.H.: Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains. IEEE Transactions on Speech and Audio Processing 2(2), 291-298 (1994)
3. Przybocki, M., Martin, A.: NIST Speaker Recognition Evaluation Chronicles. In: Odyssey Workshop (2004)
4. Kenny, P., Dumouchel, P.: Experiments in speaker verification using factor analysis likelihood ratios. In: Odyssey: The Speaker and Language Recognition Workshop, pp. 219-226 (2004)
5. Vogt, R., Sridharan, S.: Experiments in Session Variability Modelling for Speaker Verification. IEEE International Conference on Acoustics, Speech and Signal Processing 1, 897-900 (2006)
6. Auckenthaler, R., Carey, M., Lloyd-Thomas, H.: Score normalization for textindependent speaker verification systems. Digital Signal Processing 10(1), 42-54 (2000)
7. Pelecanos, J., Sridharan, S.: Feature warping for robust speaker verification. Proc. Speaker Odyssey 2001 (2001)
8. Campbell, W.M., Sturim, D.E., Reynolds, D.A.: Support vector machines using GMM supervectors for speaker verification. Signal Processing Letters 13(5), 308-311 (2006)
9. Vogt, R.: Automatic Speaker Recognition Under Adverse Conditions. PhD thesis, Queensland University of Technology, Brisbane, Queensland (2006)
10. Reynolds, D.A.: Comparison of background normalization methods for textindependent speaker verification. Proc. Eurospeech 97 (1997)
11. Cortes, C., Vapnik, V.: Support-vector networks. Machine Learning 20(3), 273-297 (1995)
12. Campbell, W.M., Sturim, D.E., Reynolds, D.A., Solomonoff, A.: SVM Based Speaker Verification using a GMM Supervector Kernel and NAP Variability Compensation. IEEE International Conference on Acoustics, Speech and Signal Processing 1, 97-100 (2006)
13. The NIST 2006 Speaker Recognition Evaluation Plan (2006), Available at http://www.nist.gov/speech/tests/spk/2004/SRE-04.evalplan-vla.pdf
14. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. (2001), Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm