Weighted nuisance attribute projection

Odyssey 2010: Speaker and Language Recognition Workshop

Volumn , Issue , 2010, Pages 97-102

  Campbell, W M ^a  

^a MIT LINCOLN LABORATORY   (United States)

Author keywords

Channel compensation; Speaker recognition

Indexed keywords

ITERATIVE METHODS;

CHANNEL COMPENSATION; EXPANSION SPACE; OPTIMIZATION PROBLEMS; ORTHOGONAL PROJECTION; PAIRWISE DISTANCES; SPEAKER RECOGNITION; SPEAKER RECOGNITION EVALUATIONS; SPEAKER VARIATION;

SPEECH RECOGNITION;

EID: 85073109500     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. W. M. Campbell, “Generalized linear discriminant sequence kernels for speaker recognition,” in Proceedings of ICASSP, 2002, pp. 161-164.
2. Alex Solomonoff, Carl Quillen, and William M. Campbell, “Channel compensation for SVM speaker recognition,” in Proceedings of Odyssey-04, The Speaker and Language Recognition Workshop, 2004, pp. 57-62.
3. 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 Proceedings of ICASSP, 2006, pp. I-97-I-100.
4. P. Kenny and P. Dumouchel, “Experiments in speaker verification using factor analysis likelihood ratios,” in Proc. Odyssey04, 2004, pp. 219-226.
5. Andrew O. Hatch, Sachin Kajarekar, and Andreas Stolcke, “Within-class covariance normalization for SVMbased speaker recognition,” in Proc. Interspeech, 2006, pp. 1471-1474.
6. P. Kenny, P. Ouellet, N. Dehak, V. Gupta, and P. Dumouchel, “A study of inter-speaker variability in speaker verification,” IEEE Transactions on Audio, Speech and Language Processing, 2008.
7. Brendan Baker, Robbie Vogt, Mitchell McLaren, and Sridha Sridharan, “Scatter difference NAP for SVM speaker recognition,” in Lecture Notes in Computer Science, vol. 5558, pp. 464-473. Springer, 2009.
8. W. M. Campbell, Z. N. Karam, and D. E. Sturim, “Inner product discriminant functions,” in Advances in Neural Information Processing Systems 22, Cambridge, MA, 2009, MIT Press.
9. V. Wan and S. Renals, “SVMSVM: support vector machine speaker verification methodology,” in Proceedings of ICASSP, 2003, pp. 221-224.
10. Ondrej Glembek, Lukas Burget, Najim Dehak, Niko Brummer, and Patrick Kenny, “Comparison of scoring methods used in speaker recognition with joint factor analysis,” in Proceedings of ICASSP, 2009.
11. Douglas A. Reynolds, T. F. Quatieri, and R. Dunn, “Speaker verification using adapted Gaussian mixture models,” Digital Signal Processing, vol. 10, no. 1-3, pp. 19-41, 2000.
12. Robbie Vogt and Sridha Sridharan, “Explicit modelling of session variability for speaker verification,” Computer Speech and Language,, no. 22, pp. 17-38, 2008.
13. M. J. F. Gales, “Cluster adaptive training of hidden markov models,” IEEE Trans. Speech and Audio Processing, vol. 8, no. 4, pp. 417-428, 2000.
14. James C. Bezdek and Richard J. Hathaway, “Some notes on alternating optimization,” in Lecture Notes in Computer Science, vol. 2275, pp. 187-195. Springer, 2002.
15. Gene H. Golub and Charles F. Van Loan, Matrix Computations, John Hopkins, 1989.
16. Bernhard Schölkopf, Alex J. Smola, and Klaus-Robert Müller, “Kernel principal component analysis,” in Advances in Kernel Methods, Bernhard Schölkopf, Christopher J. C. Burges, and Alexander J. Smola, Eds., pp. 327-352. MIT Press, Cambridge, Massachusetts, 1999.
17. M. A. Przybocki, A. F. Martin, and A. N. Le, “NIST speaker recognition evaluations utilizing the Mixer corpora-2004,2005,2006,” IEEE Trans. on Speech, Audio, Lang., vol. 15, no. 7, pp. 1951-1959, 2007.
18. Roland Auckenthaler, Michael Carey, and Harvey Lloyd-Thomas, “Score normalization for text-independent speaker verification systems,” Digital Signal Processing, vol. 10, pp. 42-54, 2000.
19. J. Odell, D. Ollason, P. Woodland, S. Young, and J. Jansen, The HTK Book for HTK V2.0, Cambridge University Press, Cambridge, UK, 1995.