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Subband Blind Audio Source Separation Using a Time-Domain Algorithm and Tree-Structured QMF Filter Bank

SYSNO ASEP	0348110
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Subband Blind Audio Source Separation Using a Time-Domain Algorithm and Tree-Structured QMF Filter Bank
Author(s)	Koldovský, Zbyněk (UTIA-B)_RID Tichavský, Petr (UTIA-B)_{RID, ORCID} Málek, J. (CZ)
Source Title	Lecture Notes in Computer Science, 6365. - Heidelberg : Springer-Verlag, 2010 / Gavrilova M.L. ; Kumar V. ; Mun Y. ; Tan C.J.K. ; Gervasi O. - ISBN 978-3-642-15994-7
Pages	s. 25-32
Number of pages	8 s.
Publication form	www - www
Action	Latent Variable Analysis and Signal Separation
Event date	27.09.2010-30.09.2010
VEvent location	St. Malo
Country	FR - France
Event type	WRD
Language	eng - English
Country	DE - Germany
Keywords	blind source separation ; audio ; convolutive mixture
Subject RIV	BB - Applied Statistics, Operational Research
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	GA102/09/1278 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
Annotation	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.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2011

Number of the records: 1