Konferenční příspěvek

Málek J., Koldovský Z., Tichavský P.

Lecture Notes in Computer Science

6365

Springer-Verlag

Heidelberg

2010

978-3-642-15994-7

Ing. Petr Tichavský, CSc. (ÚTIA - Oddělení stochastické informatiky)

blind source separation, speech, convolutive mixture, adapti

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.