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• W2114854196 abstract "Convolutive blind source separation (BSS) aims at separating point sources from mixtures picked up by several sensors. In real-world environments moving speakers, background noise and long reverberation are encountered which often degrade the performance of BSS algorithms. In such cases, the application of a post-filter can improve the output signal quality by suppression of residual cross-talk and of background noise. In this paper we propose a novel technique to estimate the necessary power spectral densities of the cross-talk components and present a robust system which allows to further suppress both, the remaining interference from point sources and the background noise. Experimental results show the benefit of this post-processing method in realistic environments." @default.
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• W2114854196 date "2006-08-03" @default.
• W2114854196 modified "2023-09-26" @default.
• W2114854196 title "Post-Processing for Convolutive Blind Source Separation" @default.
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• W2114854196 doi "https://doi.org/10.1109/icassp.2006.1661206" @default.
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