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Single Channel Speech Enhancement by De-noising Using Stationary Wavelet Transform

中国电子科技2006，Vol.4Issue(1)：39-42,4.

Single Channel Speech Enhancement by De-noising Using Stationary Wavelet Transform

作者信息

1. Key Lab of Intelligent Computing and Signal Processing, Anhui University Hefei 230039 China;School of Electronic Science and Technology, Anhui University Hefei 230039 China;Key Lab of Intelligent Computing and Signal Processing, Anhui University Hefei 230039 China;School of Electronic Science and Technology, Anhui University Hefei 230039 China;School of Electronic Science and Technology, Anhui University Hefei 230039 China
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摘要

Abstract

A method of single channel speech enhancement is proposed by de-noising using stationary wavelet transform. The approach developed herein processes multi-resolution wavelet coefficients individually and then recovery signal is reconstructed. The time invariant characteristics of stationary wavelet transform is particularly useful in speech de-noising. Experimental results show that the proposed speech enhancement by de-noising algorithm is possible to achieve an excellent balance between suppresses noise effectively and preserves as many target characteristics of original signal as possible. This de-noising algorithm offers a superior performance to speech signal noise suppress.

关键词

stationary wavelet transform/speech enhancement/de-noising/SNR

Key words

stationary wavelet transform/speech enhancement/de-noising/SNR

分类

数理科学

引用本文复制引用

..Single Channel Speech Enhancement by De-noising Using Stationary Wavelet Transform[J].中国电子科技,2006,4(1):39-42,4.

基金项目

Supported by the Education Foundation of Anhui Province (No.2002kj003) （No.2002kj003）

中国电子科技

ISSN：1674-862X

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