A multi-microphone array speech enhancement method using Generalized Sidelobe Canceller (GSC) beamforming with Combined Postfilter (CP) and Sparse Non-negative Matrix Factorization (SNMF) is proposed in this paper. GSC beamforming with CP and SNMF is implemented to reduce directional noise, diffuse noise, residual noise and to separate interferences in adverse environment. In this paper, the directional noise is reduced using GSC beamforming, whereas the diffuse noise in each subband is reduced with a combined postfilter using Unconstrained Frequency domain Normalized Least Mean Square (UFNLMS) algorithm. Finally, the residual noise at the output of CP is eliminated by SNMF which optimizes the noise. The performance of the proposed method is evaluated using parameters like PESQ, SSNR, STOI, SDR and LSD. The noise reduction for four and eight microphones is compared and illustrated in spectrograms. The proposed method shows better performance in terms of intelligibility and quality when compared to the existing methods in adverse environments.

中文翻译：

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用于语音增强的具有组合后置滤波器和稀疏 NMF 的广义旁瓣消除器波束形成

该文提出了一种利用广义旁瓣消除器(GSC)波束形成结合后置滤波器(CP)和稀疏非负矩阵分解(SNMF)的多麦克风阵列语音增强方法。采用 CP 和 SNMF 的 GSC 波束成形用于减少定向噪声、扩散噪声、残余噪声并在不利环境中分离干扰。在本文中，使用 GSC 波束成形降低了定向噪声，而使用无约束频域归一化最小均方 (UFNLMS) 算法的组合后滤波器降低了每个子带中的漫反射噪声。最后，通过优化噪声的 SNMF 消除 CP 输出处的残余噪声。使用 PESQ、SSNR、STOI、SDR 和 LSD 等参数评估所提出方法的性能。在频谱图中比较并说明了四个和八个麦克风的降噪效果。与不利环境中的现有方法相比，所提出的方法在可懂度和质量方面表现出更好的性能。