A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments

Aichner R, Buchner H, Yan F, Kellermann W (2006)


Publication Language: English

Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 2006

Journal

Publisher: Elsevier

Book Volume: 86

Pages Range: 1260-1277

Journal Issue: 6

DOI: 10.1016/j.sigpro.2005.06.022

Abstract

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. © 2005 Elsevier B.V. All rights reserved.

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How to cite

APA:

Aichner, R., Buchner, H., Yan, F., & Kellermann, W. (2006). A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments. Signal Processing, 86(6), 1260-1277. https://doi.org/10.1016/j.sigpro.2005.06.022

MLA:

Aichner, Robert, et al. "A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments." Signal Processing 86.6 (2006): 1260-1277.

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