Wavelet feature selection based neural networks with application to the text independent speaker identification

被引：14

作者：

Lung, SY ^{[1
]}

机构：

[1] China Univ Technol, Dept Management Informat Syst, Taipei, Taiwan

来源：

PATTERN RECOGNITION | 2006年 / 39卷 / 08期

关键词：

fuzzy; speaker recognition; wavelet packets; neural network;

D O I：

10.1016/j.patcog.2006.02.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A wavelet packets feature selection derived by using neuro-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. Experimental evaluation of the systems performance was conducted on three speech databases. Our results have shown that this feature selection introduced better performance than the wavelet features with respect to the percentages of recognition. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：1518 / 1521

页数：4

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