Feature extracted from wavelet decomposition using biorthogonal Riesz basis for text-independent speaker recognition

被引：9
|
作者：
Lung, Shung-Yung
机构：
[1] Department of Information and Telecommunications Engineering, Ming Chuan University, Taoyuan County
来源：
PATTERN RECOGNITION | 2008年 / 41卷 / 10期
关键词：
speaker recognition; wavelet transform; Riesz basis;
D O I：
10.1016/j.patcog.2008.03.020
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new speaker feature extracted from wavelet decomposition using biorthogonal Riesz bases is described. Biorthogonal Riesz bases can offer a significant computational advantage by reducing the dimensionality of the eigenvalue problem at a not square matrix. Our results have shown that these wavelet Riesz bases introduced better performance than the other wavelet transforms with respect to the percentages of recognition. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：3068 / 3070
页数：3
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