[1]文小方,张玲华,高婉贞. 基于小波去噪的自适应波束形成算法研究[J].计算机技术与发展,2017,27(06):169-172.
　WEN Xiao-fang,ZHANG Ling-hua,GAO Wan-zhen. Investigation on Adaptive Beamforming Algorithm with Wavelet Denoising[J].,2017,27(06):169-172.
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 基于小波去噪的自适应波束形成算法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年06期
页码:
169-172
栏目:
应用开发研究
出版日期:
2017-06-10

文章信息/Info

Title:
 Investigation on Adaptive Beamforming Algorithm with Wavelet Denoising
文章编号:
1673-629X（2017)06-0169-04
作者:
 文小方; 张玲华; 高婉贞
 南京邮电大学 通信与信息工程学院
Author(s):
 WEN Xiao-fang; ZHANG Ling-hua; GAO Wan-zhen
关键词:
 ; 广义旁瓣抵消器; 语音泄漏; 小波阈值去噪; 语音辨识度
Keywords:
 ; generalized sidelobe canceller; speech leakage; wavelet threshold denoising; speech recognition
分类号:
TP301.6
文献标志码:
A
摘要:
 语音增强算法是数字助听器的一项关键技术.广义旁瓣抵消器自适应波束形成算法对受固定干扰源影响的目标语音有良好的消噪效果.针对广义旁瓣抵消器自适应波束形成算法带来的语音泄漏以及残留噪声问题,在分析语音泄漏原因的基础上,引进了小波阈值去噪技术,提出了基于小波去噪的自适应波束形成算法.该算法在对原始语音进行小波阈值去噪后,将去噪后的语音信号通过GSC结构,从而得到输出语音信号.因小波阈值去噪既能提高语音通过GSC结构前的信噪比,又能使通过GSC结构后的语音更加准确,一定程度上减少了语音的泄漏,降低了残留噪声的发生,提高了语音的辨识度.实验结果表明,所提出的算法使得算法性能有所提高,从而达到了增强语音的目的.
Abstract:
 Speech enhancement algorithm is a key technique in digital hearing aid.The Generalized Sidelobe Canceller (GSC) adaptive beamforming algorithm can effectively remove the fixed interference source noise in the target speech.Aimed at the residual noise and speech leakage problems caused by the generalized sidelobe canceller adaptive beamforming algorithm,on the basis of analysis on the reasons for speech leakage and introduction of wavelet threshold denoising technology,the adaptive beamforming algorithm based on wavelet denoising has been proposed.After the denoising of wavelet threshold value has employed to deal with original speech,the outputs of audio signal through GSC structure obtained.Since wavelet threshold,value denoising can improve the SNR of the speech signal effectively and can reduce speech leakage with certain content,and enhance the speech recognition.The experimental results show that performance of the improved algorithm and the effects of speech enhancement have been achieved.

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更新日期/Last Update: 2017-07-28