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Semi-Blind Source Separation Based on ICA and Overlapped Speech Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F12%3A%230002026" target="_blank" >RIV/46747885:24220/12:#0002026 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985556:_____/12:00376328

  • Result on the web

    <a href="http://www.scopus.com/" target="_blank" >http://www.scopus.com/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-28551-6_57" target="_blank" >10.1007/978-3-642-28551-6_57</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Semi-Blind Source Separation Based on ICA and Overlapped Speech Detection

  • Original language description

    We propose a semi-blind method for separation of stereo recordings of several sources. The method begins with computation of a set of cancellation filters for potential fixed positions of the sources. These filters are computed from one-source-only intervals selected upon cross-talk detection. Each source in some of the fixed positions is canceled by the corresponding filter, by which the other sources are separated. The former source can be then separated by adaptive suppression of the separated sources. To select the appropriate cancellation filter, we use Independent Component Analysis. The performance of the proposed method is verified on real-world SiSEC data with two fixed and/or moving sources

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    10th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2012

  • ISBN

    978-3-642-28550-9

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    462-469

  • Publisher name

    Springer-Verlag

  • Place of publication

  • Event location

    Tel Aviv; Israel

  • Event date

    Mar 12, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article