0363798 20240111140759.620110913235959.9 4 s. CD ROM cav_un_epca*03637971990-9772561-564FlorenceISCA, International Speech Communication Association2011 blind speech separation independent component analysis 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*0050739 Málek J. CZ 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/koldovsky-blind speech separation in time-domain using block-toeplitz structure of reconstructed signal matrices.pdf 161 kB 1M0572 GA MŠk cav_un_auth*0001814 GAP103/11/1947 GA ČR CZ cav_un_auth*0301478 CEZ:AV0Z10750506 Methods for Blind Source Separation (BSS) aim at recovering signals from their mixture without prior knowledge about the signals and the mixing system. Among others, they provide tools for enhancing speech signals when they are disturbed by unknown noise or other interfering signals in the mixture. This paper considers a recent time-domain BSS method that is based on a complete decomposition of a signal subspace into components that should be independent. The components are used to reconstruct images of original signals using an ad hoc weighting, which influences the final performance of the method markedly. We propose a novel weighting scheme that utilizes block-Toeplitz structure of signal matrices and relies thus on an established property. We provide experiments with blind speech separation and speech recognition that prove the better performance of the modified BSS method. cav_un_auth*0274144 Interspeech 2011 Florence, 12thAnnual Conference of the International Speech Communication Association Florence 28.08.2011-31.08.2011 IT 2012 BB 3 http://hdl.handle.net/11104/0199458 2011 161 kB cav_un_epca*0363797 Proceedings of the 12th Annual Conference of the International Speech Communication Association (Interspeech 2011) 1990-9772 561 564 Florence ISCA, International Speech Communication Association 2011