滤波器组自适应语音增强方法

Subband adaptive filter algorithm for speech enhancement

双麦克风噪声抵消应用中,由于交叉串的存在,传统自适应算法降噪性能受到很大的影响。为了提高双麦克风算法降噪性能,使用两级自适应滤波系统消除交叉串扰问题。为提高自适应滤波器收敛性能,采用主从结构LMS算法自适应调节步长因子。同时为了适合窄带处理算法,将输入信号进行子带分析预处理,对每个子带独立进行抗交叉串绕自适应处理,将各子带增强信号合并得到增强语音信号。实验结果表明,该方消噪量大,语音损伤小,语音增强效果显著。

The performance of traditional adaptive noise cancellation algorithms is greatly suffered by cross-talk signals in two microphone speech enhancement applications.To promote the performance of two-microphone noise cancellation algorithms,a two-stage adaptive filter system is adopted to extract desired speech signal from the cross-talk signals.To accelerate the convergence,the master-slave adaptive filter algorithm is employed.To use narrow-band algorithm,the cross-talk-resist processing is adopted over each subbands of the input signals.The enhanced speech signal is the combination of all subbands signal.Experiment results show that this method is quite effective in speech enhancement as it can cancel a large amount of noise with little distortion to speech signals.