Convergence between SVM-based and distance-based paradigms for speaker recognition

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2008, Pages 1389-1392

  Charlet, Delphine ^a   Zhao, Xianyu ^a   Dong, Yuan ^a  

^a ORANGE LABS   (France)

Author keywords

Anchor models; Location vectors; Speaker verification; SVM; VZ norm

Indexed keywords

ANCHOR MODELS; LOCATION VECTORS; SPEAKER VERIFICATION; SVM; VZ-NORM;

CLASSIFIERS; SPEECH COMMUNICATION; VECTORS;

SPEECH RECOGNITION;

EID: 84867201411     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. 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" ICASSP, 2006.
2. D. Charlet, M. Collet and F. Bimbot, "VZ-norm: an extension of Z-norm to the multivariate case for anchor model based speaker verification", Interspeech 2007.
3. X. Zhao, Y. Dong et al., "Comparison of two kinds of speaker location representation for SVM-based Speaker Verification", Interspeech 2007.
4. A. O. Hatch, S. Kajarekar and A. Stolcke, "Within-Class Covariance Normalization for SVM-based Speaker Recognition" ICSLP 2006.
5. M. Collet, D. Charlet and F. Bimbot, "A correlation metric for speaker tracking using anchor models" ICASSP 2005.
6. R. Collobert, S. Bengio, "SVMTorch: Support vector machines for large-scale regression problems" Journal of Machine Learning Research, vol. 1, pp. 143-160, 2001.
7. National Institute of Standards and Technology, "The NIST 2006 speaker recognition evaluation plan," http://www.nist.gov/speech/tests/spk/ spk/2006/