A blind noise decorrelation approach with crystal arrays on designing post-filters for diffuse noise suppression
A blind noise decorrelation approach with crystal arrays on designing post-filters for diffuse noise suppression
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DOI：
10.1109/icassp.2008.4517610
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发表时间：
2008-05
期刊：
影响因子：
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通讯作者：
N. Ito;Nobutaka Ono;S. Sagayama
中科院分区：
文献类型：
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作者：
N. Ito;Nobutaka Ono;S. Sagayama
本文提出了一种新的漫射噪声环境下目标信号提取框架。我们利用晶体阵列，一类具有晶体状几何形状的对称麦克风阵列，可以在不知道其协方差矩阵值的情况下实现各向同性噪声的信道间去相关。我们把这种去相关称为盲噪声去相关。利用盲噪声去相关对信号功率谱进行改进估计，实现了多路维纳滤波器，是最小均方误差意义下目标信号的最优估计器。仿真实验证明了该方法的有效性。
This paper describes a new framework for extracting the target signal in diffuse noise environments. We utilize crystal arrays, a certain class of symmetrical microphone arrays with crystal-like geometries, which enable interchannel decorrelation of isotropic noise without knowing the value of its covariance matrix. We refer to this decorrelation as blind noise decorrelation. Using an improved estimation of the signal power spectrum obtained by the blind noise decorrelation, the multichannel Wiener filter is properly implemented, which is the optimal estimator of the target signal in the minimum mean square error sense. Simulated experiments have shown the effectiveness of the proposed method.