基于小波阈值多窗口功率谱估计的语音增强

提出一种有效的先验信噪比平滑方法.该方法从先验信噪比的定义出发，使用小波阈值多窗口功率谱估计方法减小语音功率谱和噪声谱的方差，从而实现先验信噪比的平滑.实验证明，该先验信噪比平滑方法解决了直接判决法在语音开始端能量较大情况下的先验信噪比延时问题，并且提高了先验信噪比的准确性；同时结合该平滑方法的语音增强方法能有效抑制“音乐噪声”，尤其在低输入信噪比时效果明显.

Speech Enhancement Based on Wavelet Thresholding Multi-taper Estimators

An effective method to smooth prior SNR is proposed. Based on the definition of prior SNR, this method smoothes prior SNR by using wavelet thresholding multi-taper estimators to reduce variance of speech and noise power spectrum.The method for smoothing prior SNR can avoid delay in the estimated prior SNR when energy level at the beginning of speech is high by using the decision directed method. It can also enhance estimation accuracy of prior SNR. Speech enhancement combined with this method can effectively suppress “music noise”, especially at low input SNR