Abstract: In view of the musical noise after the enhancement of speech corrupted by complicated additive noise，a speech enhancement method based on the combination of subspace and Winner filter is proposed.This method has following steps.By KL transformation the noisy speech is transformed into subspace domain，and the noisy speech eigenvalue is estimated.A Winner filter is formed by using the Signal-Noise-Ratio（SNR） formula in subspace domain.The estimated eigenvalue is filtered by the Winner filter.Thereby the new clean speech eigenvalue is gained.The clean speech is gained by KL reverse transformation.Simulation results show that under the background of white and train noise，the SNR in this method is more excellent than that in traditional subspace method.Meanwhile the musical noise after the enhancement is depressed effectively.

Key words: speech enhancement, subspace, Winner filter, musical noise

摘要： 针对复杂背景噪声下语音增强后带有音乐噪声的问题，提出一种子空间与维纳滤波相结合的语音增强方法。对带噪语音进行KL变换，估计出纯净语音的特征值，再利用子空间域中的信噪比计算公式构成一个维纳滤波器，使该特征值通过这个滤波器，从而得到新的纯净语音特征值，由KL逆变换还原出纯净语音。仿真结果表明，在白噪声和火车噪声的背景下，信噪比都比传统子空间方法有明显提高，并有效抑制了增强后产生的音乐噪声。

关键词: 语音增强, 子空间, 维纳滤波, 音乐噪声