Wavelet feature selection using fuzzy approach to text independent speaker recognition

被引：3

作者：

Lung, SY ^{[1
]}

机构：

[1] Chung Kuo Inst Technol, Dept Management Informat Syst, Taipei, Taiwan

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2005年 / E88A卷 / 03期

关键词：

speaker recognition; wavelet transform; fuzzy;

D O I：

10.1093/ietfec/e88-a.3.779

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：779 / 781

页数：3

共 5 条

[1] Speech feature extracted from adaptive wavelet for speech recognition
Chang, SW
Kwon, Y
Yang, SI
[J]. ELECTRONICS LETTERS, 1998, 34 (23) : 2211 - 2213
[2] Mel filter-like admissible wavelet packet structure for speech recognition
Farooq, O
Datta, S
[J]. IEEE SIGNAL PROCESSING LETTERS, 2001, 8 (07) : 196 - 198
[3] Feature extracted from wavelet eigenfunction estimation for text-independent speaker recognition
Lung, SY
[J]. PATTERN RECOGNITION, 2004, 37 (07) : 1543 - 1544
[4] ROBUST TEXT-INDEPENDENT SPEAKER IDENTIFICATION USING GAUSSIAN MIXTURE SPEAKER MODELS
REYNOLDS, DA
ROSE, RC
[J]. IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 1995, 3 (01): : 72 - 83
[5] Tufekci Z., 2000, PROC IEEE SOUTHEASTC, P116

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