广东工业大学学报2017，Vol.34Issue(5)：52-55,4.DOI:10.12052/gdutxb.160179
基于维纳–小波分析的语音去噪新方法
A New Speech Denoising Method Based on Wiener Filtering and Wavelet Analysis
摘要
Abstract
Denoising in wavelet analysis sets the threshold to eliminate the wavelet coefficients of the noise, which filters some useful speech signals and reduces voice quality. In order to resolve the problem, a new speech denoising method based on Wiener filter and wavelet analysis is proposed. According to the characteristic of the least mean square error of the Wiener filter, the method filters out most of the noise signal, and then denoises it by the wavelet analysis. Experiments is carried out in simulation, and the results reveal that the method is more improved than wavelet analysis in terms of signal-to-noise ratio (SNR) and speech quality.关键词
维纳滤波/小波分析/阈值函数/去噪Key words
Wiener filtering/wavelet analysis/threshold function/denoising分类
信息技术与安全科学引用本文复制引用
郑永敏,鲍鸿,张晶..基于维纳–小波分析的语音去噪新方法[J].广东工业大学学报,2017,34(5):52-55,4.基金项目
广东省科技计划资助项目(2013B040401015) （2013B040401015）
