Selection of the best wavelet base for speech signal

被引：4
|
作者：
Yan, L [1 ]
Liu, G [1 ]
Guo, J [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Informat Engn, Beijing 100876, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL SYMPOSIUM ON INTELLIGENT MULTIMEDIA, VIDEO AND SPEECH PROCESSING | 2004年
关键词：
best wavelet base; speech signal; wavelet analysis;
D O I：
10.1109/ISIMP.2004.1434039
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a new method is proposed for choosing the best wavelet base for speech signal. The wavelets of Haar, Daubechies, Meyer, Biorthgonal, Coiflets, Symlets are used for speech signal. The wavelet decomposition is used to decompose speech signals into five levels. Low-frequency part of the signal was reconstructed. By calculating the maximum error and mean error of the reconstructed signal, the result shows that Haar wavelet is not suitable for speech signal and Dmey is the best wavelet base for speech signal.
引用
收藏
页码：218 / 221
页数：4
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