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 matrix formulation allows straightforward simultaneous exploitation of nonwhiteness and nonstationarity of the source signals using second-order statistics. We examine the efficient implementation of the resulting algorithm and introduce a block-on-line update method for the demixing filters. Experimental results for moving speakers in a reverberant room show that the proposed method ensures high separation performance. Our method is implemented on a standard laptop computer and works in realtime.
This work was partly supported by the ANITA project funded by the European Commission under contract IST-2001-34327.
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© 2004 Springer-Verlag Berlin Heidelberg
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Aichner, R., Buchner, H., Yan, F., Kellermann, W. (2004). Real-Time Convolutive Blind Source Separation Based on a Broadband Approach. In: Puntonet, C.G., Prieto, A. (eds) Independent Component Analysis and Blind Signal Separation. ICA 2004. Lecture Notes in Computer Science, vol 3195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30110-3_106
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DOI: https://doi.org/10.1007/978-3-540-30110-3_106
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