Fuzzy Training Algorithm for Wavelet Codebook Based Text-Independent Speaker Identification

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. E-mail: lung@mail.ckitc.edu.tw
Venue:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Year:
2005

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Abstract

A speaker identification system based on wavelet transform (WT) derived from codebook design using fuzzy c-mean algorithm (FCM) is proposed. We have combined FCM and the vector quantization (VQ) algorithm to avoid typical local minima for speaker data compression. Identification accuracies of 94% were achieved for 100 Mandarin speakers.