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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Adaptive Time-Domain Blind Separation of Speech Signals
verfasst von : Jiří Málek, Zbyněk Koldovský, Petr Tichavský
Erschienen in: Latent Variable Analysis and Signal Separation
Verlag: Springer Berlin Heidelberg
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We present an adaptive algorithm for blind audio source separation (BASS) of moving sources via Independent Component Analysis (ICA) in time-domain. The method is shown to achieve good separation quality even with a short demixing filter length (L = 30). Our experiments show that the proposed adaptive algorithm can outperform the off-line version of the method (in terms of the average output SIR), even in the case in which the sources do not move, because it is capable of better adaptation to the nonstationarity of the speech.