DocumentCode
423808
Title
Research of speaker identification based on little training data
Author
Yang, Yao-Quan ; Chen, Wei ; Lu, Yu-Dong ; Gao, Ai-Guo
Author_Institution
Fac. of Control Sci. & Eng., North China Electr. Power Univ., Baoding, China
Volume
6
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
3755
Abstract
This paper summarizes several current methods and analyses of the existing problems in directing against little training data for speaker identification. A new algorithm based on support vector machine is presented in the paper, and is used to build a constrained text-independent speaker identification system. Experimental results indicate that the performance of the test system is better than the system based on VQ, HMM or NN as comparison.
Keywords
learning (artificial intelligence); speaker recognition; support vector machines; empirical risk minimization; little training data; machine learning; speaker identification system; structural risk international; support vector machine; Artificial neural networks; Control systems; Hidden Markov models; Machine learning; Neural networks; Speech analysis; Statistical learning; Support vector machine classification; Support vector machines; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1380476
Filename
1380476
Link To Document