基于仿生小波变换和自适应阈值的语音增强方法

提出一种基于仿生小波变换以及自适应阈值的语音增强方法．含噪语音通过仿生小波变换后，针对不同的尺度采用不同的阈值函数进行去噪．由于在小波变换过程中考虑了人耳的听觉特性，所提出方法优于基本的小波语音增强方法．实验表明，该方法在多种噪声条件下均具有较好的语音增强效果．

Speech Enhancement Based on Bionic Wavelet Transform and Adaptive Threshold Functions

Based on the bionic wavelet transform and adaptive threshold functions, an improved wavelet-based speech enhancement method is presented. Due to the integration of human auditory system model into the wavelet transform, the main advantage of the proposed method is that the over thresholdlng of speech segments which is usually occurred in conventional wavelet-based speech enhancement schemes can be avoided. As a consequence, the enhanced speech quality of the proposed method is increased substantially from those of conventional approaches.