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Time-domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure

  1. 1.
    SYSNO ASEP0348111
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleTime-domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure
    Author(s) Koldovský, Zbyněk (UTIA-B) RID
    Tichavský, Petr (UTIA-B) RID, ORCID
    Málek, J. (CZ)
    Source TitleLecture 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
    Pagess. 17-24
    Number of pages8 s.
    Publication formwww - www
    ActionLatent Variable Analysis and Signal Separation
    Event date27.09.2010-30.09.2010
    VEvent locationSt. Malo
    CountryFR - France
    Event typeWRD
    Languageeng - English
    CountryDE - Germany
    Keywordsblind source separation ; audio ; convolutive mixture
    Subject RIVBB - Applied Statistics, Operational Research
    R&D Projects1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    GA102/09/1278 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationTime-domain methods for blind separation of audio signals are preferred due to their lower demand for available data and the avoidance of the permutation problem. However, their computational demands increase rapidly with the length of separating filters due to the simultaneous growth of the dimension of an observation space. We propose, in this paper, a general framework that allows the time-domain methods to compute separating filters of theoretically infinite length without increasing the dimension. Based on this framework, we derive a generalized version of the time-domain method of Koldovsky and Tichavsky (2008). For instance, it is demonstrated that its performance might be improved by 4dB of SIR using the Laguerre filter bank.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2011
Number of the records: 1  

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