Title :
Speaker recognition using continuous density support vector machines
Author_Institution :
Dept. of Comput. Sci. & Eng., Zhejiang Univ., Hangzhou
fDate :
8/16/2001 12:00:00 AM
Abstract :
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
Keywords :
learning automata; pattern classification; speaker recognition; YOHO database; classification system; continuous density support vector machines; discriminative classifier support vector machines; generative Gaussian mixture models; output probabilities; text-independent speaker recognition;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20010741
