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Blind separation of underdetermined linear mixtures based on source nonstationarity and AR(1) modeling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F16%3A00000303" target="_blank" >RIV/46747885:24220/16:00000303 - isvavai.cz</a>

  • Result on the web

    <a href="https://asap.ite.tul.cz/publications/conference-papers/" target="_blank" >https://asap.ite.tul.cz/publications/conference-papers/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICASSP.2016.7472493" target="_blank" >10.1109/ICASSP.2016.7472493</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Blind separation of underdetermined linear mixtures based on source nonstationarity and AR(1) modeling

  • Original language description

    The problem of blind separation of underdetermined instantaneous mixtures of independent signals is addressed through a method relying on nonstationarity of the original signals. The signals are assumed to be piecewise stationary with varying variances in different epochs. In comparison with previous works, in this paper it is assumed that the signals are not i.i.d. in each epoch, but obey a first-order autoregressive model. This model was shown to be more appropriate for blind sepa- ration of natural speech signals. A separation method is proposed that is nearly statistically efficient (approaching the cor- responding Cramer-Rao lower bound), if the separated signals obey the assumed model. In the case of natural speech sig- nals, the method is shown to have separation accuracy better than the state-of-the-art methods.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-11898S" target="_blank" >GA14-11898S: Semi-blind methods in speech enhancement with microphone arrays</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

  • ISBN

    978-1-4799-9988-0

  • ISSN

    1520-6149

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    4323-4327

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Shanghai, China

  • Event location

    Shanghai, China

  • Event date

    Jan 1, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000388373404094