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
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;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4673-0088-9
DOI :
10.1109/CSAE.2012.6272630