A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments
A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments
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DOI：
10.1016/j.sigpro.2005.06.022
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发表时间：
2006-06-01
影响因子：
4.4
通讯作者：
Kellermann, W
中科院分区：
文献类型：
--
作者：
Aichner, R;Buchner, H;Kellermann, W
本文提出了一种有效的卷积混合信号盲源分离宽带算法的实时实现。最近推出的通用BSS框架的基础上的矩阵制定允许同时利用nonwhiteness和非平稳性的源信号使用二阶统计。我们在这里证明，这个一般计划导致高效的实时算法的基础上块在线适应普通PC平台。此外，我们调查的问题，将非因果延迟，这是必要的某些几何星座。此外，针对扩散背景噪声的鲁棒性，例如，在汽车环境中进行了检查，并提出了步长控制，这进一步增强了在现实世界的环境中的鲁棒性，并导致分离性能的改善。在混响的办公室和嘈杂的汽车环境中的算法进行了研究，验证了所提出的方法，确保在现实场景中的高分离性能。(c)2005 Elsevier B.V.保留所有权利。
In this paper, we present an efficient real-time implementation of a broadband algorithm for blind source separation (BSS) of convolutive mixtures. A recently introduced generic BSS framework based on a matrix formulation allows simultaneous exploitation of nonwhiteness and nonstationarity of the source signals using second-order statistics. We demonstrate here that this general scheme leads to highly efficient real-time algorithms based on block-online adaptation suitable for ordinary PC platforms. Moreover, we investigate the problem of incorporating noncausal delays which are necessary with certain geometric constellations. Furthermore, the robustness against diffuse background noise, e.g., in a car environment is examined and a stepsize control is proposed which further enhances the robustness in real-world environments and leads to an improvement in separation performance. The algorithms were investigated in a reverberant office room and in noisy car environments verifying that the proposed method ensures high separation performance in realistic scenarios. (c) 2005 Elsevier B.V. All rights reserved.