Text-independent speaker identification by genetic clustering radial basis function neural network

Author

Xicai, Yue ; Datian, Ye ; Ming, Liu

Author_Institution

Dept. of Electr. Eng. & Appl. Electron. Technol., Tsinghua Univ., Beijing, China

Volume

2

fYear

2001

fDate

2001

Firstpage

1777

Abstract

The authors combine genetic clustering algorithm with radial basis function neural network (RBFNN) for avoiding locally optimum solutions in speaker identification. The effectiveness of genetic clustering algorithm is evaluated with speech utterances by comparing with normal clustering method. Speaker identification experiments show that genetic clustering RBFNN can improve the correctness of text-independent speaker identification.

Keywords

feature extraction; genetic algorithms; pattern clustering; radial basis function networks; speaker recognition; vector quantisation; chromosome coding; feature extraction; fitness function; genetic clustering algorithm; optimized clustering; radial basis function neural network; speech utterances; text-independent speaker identification; vector quantization; Biological cells; Clustering algorithms; Clustering methods; Genetic algorithms; Hidden Markov models; Nearest neighbor searches; Optimization methods; Radial basis function networks; Speech; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1020564

Filename

1020564