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Speaker recognition using continuous density support vector machines

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1 Author(s)
Xin Dong ; Dept. of Comput. Sci. & Eng., Zhejiang Univ., Hangzhou

A new classification system for text-independent speaker recognition is presented. This system combines the output probabilities of generative Gaussian mixture models and discriminative classifier support vector machines. The new method is tested on the YOHO database and achieves superior performance

Published in:

Electronics Letters  (Volume:37 ,  Issue: 17 )