基于MMSE和小波变换的语音增强算法  

Voice Enhancement Based on the MMSE with Wavelet Transformation

作　　者：潘小龙[1] 张卫强[1] 郦元宏 

机构地区：[1]宁波大学信息科学与工程学院,浙江宁波315211

出　　处：《宁波大学学报（理工版）》2016年第3期68-71,共4页Journal of Ningbo University：Natural Science and Engineering Edition

基　　金：国家自然科学基金(61271137)

摘　　要：提出一种最小均方误差与小波变换相结合的改进算法来提高语音识别系统的性能.首先通过小波变换对带噪语音进行多尺度分解,然后对不同尺度的小波系数采用MMSE算法,最后对MMSE处理过的小波系数进行重构得到增强语音.实验结果表明:与传统算法相比较,提出的新算法去噪效果显著,有效地提高了语音的质量.Anew algorithm combining MMSE with wavelet transformation is put forward to improve the performance of speech recognition. Firstly, the noisy speech is processed with wavelet transformation by multi-scale decomposition, then the multi-scale wavelet coefficient is determined with MMSE algorithm. Finally the wavelet coefficient is reconstructed to enhance the speech quality. By comparing the presented algorithm with the traditional ones, as indicated by the result of MATLAB experiment, the developed algorithm is found to be of better performance in terms of speech enhancement.

关 键 词：最小均方误差 小波变换 语音增强 

分 类 号：TN912.35[电子电信—通信与信息系统]