A multi-class MLLR Kernel for SVM speaker recognition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2008, Pages 4117-4120

  Karam, Zahi N ^a,b   Campbell, William M ^a  

^a MIT LINCOLN LABORATORY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Adaptation; Kernel; MLLR; Speaker recognition; Support vector machine

Indexed keywords

ACOUSTICS; BLIND SOURCE SEPARATION; COMPUTER NETWORKS; IMAGE RETRIEVAL; MAGNETOSTRICTIVE DEVICES; REGRESSION ANALYSIS; SIGNAL PROCESSING; SPEECH; SPEECH RECOGNITION; VECTORS;

ADAPTATION; KERNEL; MLLR; SPEAKER RECOGNITION; SUPPORT VECTOR MACHINE;

SUPPORT VECTOR MACHINES;

EID: 51449085646     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4518560     Document Type: Conference Paper

References (8)

1. Zahi N. Karam and William M. Campbell, "A new kernel for SVM MLLR based speaker recognition," in Proc. Interspeech, 2007.
2. W. M. Campbell, D. E. Sturim, and D. A. Reynolds, "Support vector machines using GMM supervectors for speaker verification," submitted to IEEE Signal Processing Letters, 2005.
3. A. Stolcke, L. Ferrer, and S. Kajarekar, "Improvements in MLLR-transform-based speaker recognition," in Proc. Odyssey06, 2006, pp. 1-6.
4. Nello Cristianini and John Shawe-Taylor, Support Vector Machines, Cambridge University Press, Cambridge, 2000.
5. Ronan Collobert and Samy Bengio, "SVMTorch: Support vector machines for large-scale regression problems," Journal of Machine Learning Research, vol. 1, pp. 143-160, 2001.
6. M. J. F. Gales and P. C. Woodland, "Mean and variance adaptation within the MLLR framework," Computer Speech and Language, vol. 10, no. 4, pp. 249-264, 1996.
7. "The NIST year 2006 speaker recognition evaluation plan," http://www.nist.gov/speech/tests/spk/2006/index.htm, 2006.
8. S. Young et al, "The HTK book," http://htk.eng.cam.ac.uk.