基于CTF-GSC和后置滤波的麦克风阵列语音增强

Speech enhancement based on CTF-GSC and postfiltering for microphone array

由于语音环境中各种噪声的特殊性、复杂性和不确定性等因素,尤其在带有混响的复杂环境下,一般的广义旁瓣抵消器语音增强算法的性能严重下降,很难取得较为理想的抑制效果。针对这一情况,该文提出了一种基于改进型归一化最小均方的卷积传递函数广义旁瓣抵消器和改进型后置滤波语音增强算法。该算法利用卷积传递函数近似形式代替传递函数广义旁瓣抵消器中的相乘传递函数近似形式,并结合后置维纳滤波进行语音增强。实验测试结果表明,该算法可以有效抑制相干性和非相干性噪声,提高系统信噪比,减少语音失真。在含有混响的复杂环境中,与其他经典算法对比,该算法的鲁棒性更好,效果更明显。

Due to the particularity,complexity and uncertainty of the noise in the speech environment,especially in the complex environment with reverberation,the general performance of the generalized sidelobe canceller speech enhancement algorithm is seriously degraded,and it is difficult to achieve a more satisfactory inhibitory effect. In this paper,a convolutive transfer function generalized sidelobe canceller based on improved normalized least mean squared and an improved post-filter speech enhancement algorithm is proposed. The algorithm uses the the convolutive transfer function approximation instead of the multiplicative transfer function approximation in the transfer function generalized sidelobe canceller,and combines the posterior Wiener filtering for speech enhancement. Experimental results show that the proposed algorithm can effectively reduce coherent noise and non-coherent noise,improve system SNR and reduce speech distortion. In the complex environment with reverberation,compared with other classical algorithms,the algorithm is more robust and more effective.