基于听觉掩蔽效应的多频带谱减语音增强方法

摘要

In order to reduce the music noise introduced by conventional spectral subtraction method for speech enhancement, a speech enhancement algorithm is put forward based on the combination of multi-band spectral subtraction and the masking properties of human auditory system. Firstly, the weighted recursive averaging method is used to estimate the noise power spectrum, exert subtraction of multi-band on the noise-corrupted speech signal; then, auditory masking threshold is computed using the estimated speech signal, adjust the subtraction factor according to the threshold masking; finally, we obtain the spectrum of enhanced speech through computing the gain faction according to the subtraction factor. The simulation shows that, at low SNR, compared with conventional spectral subtraction, background noise and residual music noise are effectively suppressed, and the clarity and intelligibility of speech signal are dramatically improved.%为了减小传统谱减法引入的音乐噪声,提出了一种将多频带谱减和听觉掩蔽效应相结合的语音增强算法.用加权递归平滑的方法估计噪声的功率谱,对带噪的语音信号进行多频带谱减,计算听觉掩蔽阈值,再根据掩蔽阈值动态地调节谱减因子,通过增益函数得到增强后语音信号的频谱.仿真实验结果表明,与传统的谱减法相比,该算法在信噪比较低情况下,背景噪声和残余噪声得到了有效的抑制,语音信号的清晰度和可懂度也有了明显提升.