Discrete Fourier Transform and Discrete Wavelet Packet Transform in Speech Denoising

被引：0
|
作者：
Wang, Zhanfeng [1 ]
Li, Suping [1 ]
机构：
[1] Chaohu Univ, Elect Engn & Elect Automat Coll, Chaohu, Peoples R China
来源：
2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) | 2012年
关键词：
computer simulation; speech denoising; Discrete Wavelet Packet Transform; Fourier Transform;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper aims to emphasize the importance of computer simulation in speech denoising area by comparing Fourier Transform to Discrete Wavelet Packet Transform. Wavelet Packet Coefficients have the ability to capture important localized time and frequency features of speech. For denoising, certain Wavelet Packet Coefficients are set to zero and the others are thresholded. We show encouraging results using the denoised wavelet coefficients on small-scale experiments with speech corrupted by an artificial noise.
引用
收藏
页码：1588 / 1591
页数：4
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