DocumentCode
566932
Title
The research of voiceprint recognition based on genetic optimized RBF neural networks
Author
Yang, Yang ; Ren, Wu ; Hui, Zhang ; Yongqi, Wang
Author_Institution
Adv. Vocational Tech. Coll., Shanghai Univ. of Eng. Sci., Shanghai, China
Volume
1
fYear
2012
fDate
25-27 May 2012
Firstpage
425
Lastpage
428
Abstract
This paper proposed an algorithm of voiceprint recognition based on the genetic optimized RBF neural network. The algorithm optimizes the center and the width of the RBF neural network by genetic algorithm and extracts Mel cepstrum coefficients that stand for personality of the speaker combining with psychoacoustic model. Experimental results show that this method can obtain better model parameters and better results than the traditional RBF neural network.
Keywords
cepstral analysis; genetic algorithms; radial basis function networks; speaker recognition; Mel cepstrum coefficients extraction; genetic algorithm; genetic optimized RBF neural networks; model parameters; psychoacoustic model; voiceprint recognition; Genetic algorithm; RBF neural network; Voiceprint recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
Conference_Location
Zhangjiajie
Print_ISBN
978-1-4673-0088-9
Type
conf
DOI
10.1109/CSAE.2012.6272630
Filename
6272630
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