Abstract: A new speech enhancement method based on bionic wavelet transform is presented here.The goal of speech enhancement is accomplished through the use of thresholding on the bionic wavelet transform coefficient.Overall results indicate that the proposed method outperforms some classic methods including spectral subtraction，wiener filtering and thresholding denoising based on discrete wavelet transform in four kinds of realistic noise environments，and have a better enhancement performance.

Key words: speech enhancement, bionic wavelet transform, denoising

摘要： 提出了一种新的基于仿生小波变换的语音增强方法。该方法通过对仿生小波变换系数进行阈值处理，从而达到语音增强的目的。实验结果表明：该方法在四种实际噪声环境下均优于一些经典方法如：谱减法、维纳滤波和基于离散小波变换的阈值去噪方法，具有更好的语音增强效果。

关键词: 语音增强, 仿生小波变换, 去噪