Wavelet Feature Selection Using Fuzzy Approach to Text Independent Speaker Recognition

Authors:
Shung-Yung Lung
Affiliations:
The author is with the Department of Management Information Systems, Chung-Kuo Institute of Technology, 56, Section3, Xing Long Road, Taipei, Taiwan. Email: lung@mail.ckitc.edu.tw
Venue:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Year:
2005

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International Journal of Information and Communication Technology

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Abstract

A wavelet feature selection derived by using fuzzy evaluation index for speaker identification is described. The concept of a flexible membership function incorporating weighed distance is introduced in the evaluation index to make the modeling of clusters more appropriate. Our results have shown that this feature selection introduced better performance than the wavelet features with respect to the percentages of recognition.