现代电子技术Issue(3)：27-29,34,4.DOI:10.16652/j.issn.1004-373x.2016.03.007
基于LMS自适应噪声抵消和小波阈值的语音降噪算法研究
Research on speech denoising algorithm based on LMS adaptive noise cancellation and wavelet threshold
摘要
Abstract
For the speech denoising disturbed with the broadband noise,a speech denoising algorithm based on LMS adap⁃tive noise cancellation and wavelet threshold is presented. The part noise is cancelled by LMS adaptive noise canceller used in the algorithm to obtain the speech signal with higher signal to noise ratio(SNR),and then the wavelet analysis for the signal is con⁃ducted. A new threshold function is used to denoise the single,and the denoised single is obtained by reconstruction. The experi⁃ment results of Matlab simulation show that the algorithm is better than single algorithm,and can avoid the“musical noise”caused by the traditional spectral subtraction. The visual effect,output SNR and root mean square error(RMSE)were improved greatly.关键词
LMS/自适应噪声抵消/小波阈值/SNR/RMSEKey words
LMS/adaptive noise cancellation/wavelet threshold/SNR/RMSE分类
信息技术与安全科学引用本文复制引用
柯水霞,李迟生..基于LMS自适应噪声抵消和小波阈值的语音降噪算法研究[J].现代电子技术,2016,(3):27-29,34,4.基金项目
国家自然科学基金 （）
