Research on Key Parameters of Speech Denoising Algorithm Based on Wavelet Packet Transform

被引：0
|
作者：
Du, Ligang [1 ]
Xu, Ru [1 ]
Xu, Fang [1 ]
Wang, Deqing [1 ]
Chen, Huabin [1 ]
机构：
[1] Minist Educ Xiamen, Key Lab Underwater Acoust Commun & Marine Informa, Xiamen, Peoples R China
来源：
PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 6 | 2010年
基金：
中国国家自然科学基金;
关键词：
wavelet packet transform; speech denoising; WSDM; the nonlinear filtering;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Wavelet packet transform is an efficient method in speech denoising processing. In this paper, we research on various wavelet packet basis, decomposition layers, values of the threshold and threshold functions which are key parameters in wavelet packet denoising. Furthermore, we adopt three methods to evaluate the effects of denoised speech, including signal-noise-ratio(SNR), wavelet spectrum distortion measure(WSDM)[10], and mean opinion score(MOS) algorithms. The experimental results show that if we choose the key parameters referred in this paper, we can obtain an ideal effect for speech denoising by the nonlinear filtering based on threshold in wavelet domain.
引用
收藏
页码：551 / 556
页数：6
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