0376328 20240111140815.720120911235959.9 10.1007/978-3-642-28551-6_57 8 s. C cav_un_epca*0376325978-3-642-28550-9462-469HeidelbergSpringer2012TheisFabian audio source separation cancellation filter independent component analysis cav_un_auth*0231631 Malek J. CZ cav_un_auth*0108100 Koldovský Zbyněk Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101212 Tichavský Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2012/SI/tichavsky-semi-blind source separation based on ica and overlapped speech detection.pdf 224kB GAP103/11/1947 GA ČR CZ cav_un_auth*0301478 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. cav_un_auth*0280771 Latent Variable Analysis and Signal Separation,10th International Conference, LVA/ICA 2012 Tel Aviv 12.03.2012-15.03.2012 IL 2013 BB 3 PO RVO:67985556 http://hdl.handle.net/11104/0208758 2012 224kB cav_un_epca*0376325 Latent Variable Analysis and Signal Separation 978-3-642-28550-9 462 469 Heidelberg Springer 2012 Lecture Notes on Computer Science 7191 Theis Fabian 340