Semi-blind Source Separation Based on ICA and Overlapped Speech Detection

0376328 - ÚTIA 2013 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Malek, J. - Koldovský, Zbyněk - Tichavský, Petr
Semi-blind Source Separation Based on ICA and Overlapped Speech Detection.
Latent Variable Analysis and Signal Separation. Heidelberg: Springer, 2012 - (Theis, F.), s. 462-469. Lecture Notes on Computer Science, 7191. ISBN 978-3-642-28550-9.
[Latent Variable Analysis and Signal Separation,10th International Conference, LVA/ICA 2012. Tel Aviv (IL), 12.03.2012-15.03.2012]
Grant ostatní: GA ČR(CZ) GAP103/11/1947
Program: GA
Institucionální podpora: RVO:67985556
Klíčová slova: audio source separation * cancellation filter * independent component analysis
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
http://library.utia.cas.cz/separaty/2012/SI/tichavsky-semi-blind source separation based on ica and overlapped speech detection.pdf

We propose a semi-blind method for separation of stereo recordings of several sources. The method begins with computation of a set of cancellation filters for potential fixed positions of the sources. These filters are computed from one-source-only intervals selected upon cross-talk detection. Each source in some of the fixed positions is canceled by the corresponding filter, by which the other sources are separated. The former source can be then separated by adaptive suppression of the separated sources. To select the appropriate cancellation filter, we use Independent Component Analysis. The performance of the proposed method is verified on real-world SiSEC data with two fixed and/or moving sources.
Trvalý link: http://hdl.handle.net/11104/0208758