基于双正交小波包分解的自适应阈值语音增强  

Speech enhancement using adaptive threshold based on bi-orthogonal wavelet packet decomposition

作　　者：李如玮[1] 鲍长春[1] 窦慧晶[1] 

机构地区：[1]北京工业大学电子信息与控制工程学院语音与音频信号处理研究室,100022

出　　处：《仪器仪表学报》2008年第10期2135-2140,共6页Chinese Journal of Scientific Instrument

基　　金：北京市教委科技发展计划项目(KM200710005001);北京市自然科学基金(4042009)资助项目

摘　　要：传统的小波去噪算法是一种有效的去除白噪声的算法,为了能够去除多种有包噪声,本文提出了基于双正交小波包分解的自适应阈值语音增强方法,该方法能够自适应地跟踪噪声的水平,以此来更新所选阈值,同时采用动态阈值方法去除噪声,从而能有效地去除或降低多种有色噪声,实验结果表明,该方法由于能够在处理过程中保证相位不失真,从而性能优于基于正交小波分解的去噪方法。Traditional threshold de-noising algorithm in wavelet domain is effective only for reducing white noise. In order to eliminate many kinds of noises, a speech enhancement approach with adaptive threshold based on bi-orthogonal wavelet packet decomposition is proposed in this paper. This method updates the threshold by adaptively tracking the level of the noise and a dynamic threshold is used for reducing noise. Experimental results show that the pro- posed approach outperforms orthogonal wavelet based de-noising approaches for speech enhancement and can efficiently suppress three kinds of noises.

关 键 词：语音增强 小波变换 自适应阈值 

分 类 号：TN912.35[电子电信—通信与信息系统]