0356661 20240903175012.620110228235959.9 000291717600016 84907567733 10.1109/TASL.2010.2049411 11 s. cav_un_epca*03116091558-7916192 (2011)406-416 blind source separation audio speech 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/2011/SI/tichavsky-0356661.pdf 1M0572 GA MŠk cav_un_auth*0001814 GP102/07/P384 GAČR CZ cav_un_auth*0227962 GA102/09/1278 GA ČR cav_un_auth*0253174 CEZ:AV0Z10750506 A novel time-domain algorithm for blind separation of audio sources that is based on a complete unconstrained decomposition of the observation space is proposed. The observation space may be defined in a general way, which allows application of long separating filters, although its dimension is low. The decomposition is done by an appropriate independent component analysis (ICA) algorithm giving independent components that are grouped into clusters corresponding to the original sources. Components of the clusters are combined by a reconstruction procedure after estimating responses of the original sources. The authors demonstrate by experiments that the method works effectively with short data, compared to other methods. 2011 BI 4 A 4a 20231122134443.4 http://hdl.handle.net/11104/0195125 ACOUSTICS|ENGINEERINGELECTRICALELECTRONIC 1.962 0.305 4.1 0.01048 0.659 1779 203 0.892 Q1 62.973 66.276 Q2 Q2 2011 Soubory v repozitáři: tichavsky-0356661.pdf 84907567733 SCOPUS 000291717600016 WOS cav_un_epca*0311609 IEEE Transactions on Audio Speech and Language Processing 1558-7916 1558-7924 Roč. 19 č. 2 2011 406 416