【摘要】 根据多分辨率分析的原理 ,提出了一种基于小波变换的语音增强方法。通过小波多分辨率分解 ,将受噪声污染的语音信号在不同尺度上展开 ,并对特定频段上的信号细节进行分析和处理 ,从而使对听觉影响最严重的频段上的噪声被有效地滤除掉 ,滤波后的语音信噪比得到较大的改善 ,其方法简便有效。更多还原

【Abstract】 In this paper, according to the theory of the multiresolution analysis, a speech enhancement method based on wavelet transform is put forward. By the multiresolution analysis of wavelet, noise speech is decomposed on different scales and the details of signal on a given frequency can be analyzed and processed. Thus the noise parts during the frequency intervals that decrease hearing quality mostly are reduced efficiently,and the SNR of denoised speech are increased.更多还原