Title :
Text-independent speaker recognition using support vector machine
Author :
Fenglei, HOW ; Bingxi, Wang
Abstract :
The support vector machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition problems. This paper studies the speaker identification and verification problem using a support vector machine, and presents a SVM training method on large-scale samples according to the speech signal. A text-independent speaker recognition system based on SVM was implemented and the results show good performance
Keywords :
learning automata; signal sampling; speaker recognition; SVM training; large-scale samples; pattern recognition; performance; speaker identification; speaker verification; speech signal; statistical learning theory; support vector machine; text-independent speaker recognition; Equations; Large-scale systems; Learning systems; Machine learning; Neural networks; Pattern recognition; Speaker recognition; Statistical learning; Support vector machine classification; Support vector machines;
Conference_Titel :
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location :
Beijing
Print_ISBN :
0-7803-7010-4
DOI :
10.1109/ICII.2001.983090
