• DocumentCode
    3631341
  • Title

    Intensity vector direction exploitation for exhaustive blind source separation of convolutive mixtures

  • Author

    Banu Gunel;Huseyin Hacihabiboglu;Ahmet M. Kondoz

  • Author_Institution
    I-Lab/CCSR, University of Surrey, Guildford, GU2 7XH, UK
  • fYear
    2009
  • Firstpage
    41
  • Lastpage
    44
  • Abstract
    This article presents a technique that uses the intensity vector direction exploitation (IVDE) method for exhaustive separation of convolutive mixtures. While only a four-element compact sensor array is used, multiple channels for all possible source directions are produced by exhaustive separation. Singular value decomposition (SVD) is then applied to determine the signal subspace and the directions of the local maxima of the signal energy. This information is then used to select the channels containing the individual sources. While the original IVDE method requires the prior knowledge of the directions of sources for separation, the present method eliminates this need and achieves fully blind separation. Performing SVD at a post-processing stage also improves the sound quality. The method has been tested for convolutive mixtures of up to four sources and typical separation performances are given.
  • Keywords
    "Blind source separation","Microphone arrays","Source separation","Sensor arrays","Singular value decomposition","Geometry","Acoustic testing","Performance evaluation","Interference","Stochastic processes"
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    2379-190X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959515
  • Filename
    4959515