International Symposium on Chinese Spoken Language Processing
August 23-24, 2002
Incorporating Probability into Support Vector Machine for Speaker Recognition
Tieyan Fu, Qixiu Hu, Guangyou Xu
Tsinghua University, Beijing, China
Support Vector Machines (SVMs) is basically a discriminative
classifiers, while it is hopefully that incorporating probability
into SVMs will achieve better performance. This paper briefly
reviews some of the methods that can be used to carry out the
combination. By following one of them, we make it suitable for
the task of speaker recognition, and Gaussian Mixture Models
(GMM) is used as the generative model to derive Fisher kernel.
Preliminary experiments are performed on a speaker
identification task. The results are compared with GMM and
standard SVMs baseline systems, and some suggestions have
been made for future direction.
Fu, Tieyan / Hu, Qixiu / Xu, Guangyou (2002):
"Incorporating probability into support vector machine for speaker recognition",
In ISCSLP 2002, paper 36.