0348110 20240111140745.220101102235959.9 8 s. www cav_un_epca*0348107978-3-642-15994-7636525-32HeidelbergSpringer-Verlag2010GavrilovaM.L.KumarV.MunY.TanC.J.K.GervasiO. blind source separation audio convolutive mixture 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. cav_un_auth*0050739 Málek J. CZ http://library.utia.cas.cz/separaty/2010/SI/tichavsky-subband blind audio source separation using a time-domain algorithm and tree-structured qmf filter bank.pdf 268kB 1M0572 GA MŠk cav_un_auth*0001814 GA102/09/1278 GA ČR cav_un_auth*0253174 CEZ:AV0Z10750506 T-ABCD is a time-domain method for blind linear separation of audio sources proposed by Koldovsky and Tichavsky (2008). The method produces short separating filters (5-40 taps) and works well with signals recorded at the sampling frequency of 8-16 kHz. In this paper, we propose a novel subband-based variant of T-ABCD, in which the input signals are decomposed into subbands using a tree-structured QMF filter bank. T-ABCD is then applied to each subband in parallel, and the separated subbands are re-ordered and synthesized to yield the final separated signals. The analysis filter of the filter bank is carefully designed to enable maximal decimation of signals without aliasing. Short filters applied within subbands then result in sufficiently long filters in fullband. Using a reasonable number of subbands, the method yields improved speed, stability and performance at an arbitrary sampling frequency. cav_un_auth*0264720 Latent Variable Analysis and Signal Separation St. Malo 27.09.2010-30.09.2010 FR 2011 BB http://hdl.handle.net/11104/0188722 2010 268kB cav_un_epca*0348107 Lecture Notes in Computer Science 6365 978-3-642-15994-7 25 32 Heidelberg Springer-Verlag 2010 Latent Variable Analysis and Signal Separation, 9th Int. Conf., LVA/ICA 2010 Gavrilova M.L. 340 Kumar V. 340 Mun Y. 340 Tan C.J.K. 340 Gervasi O. 340