• DocumentCode
    138114
  • Title

    Localization of multiple sources from a binaural head in a known noisy environment

  • Author

    Portello, Alban ; Bustamante, Gabriel ; Danes, Patrick ; Mifsud, Alexis

  • Author_Institution
    LAAS, Toulouse, France
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    3168
  • Lastpage
    3174
  • Abstract
    This paper presents a strategy to the localization of multiple sound sources from a static binaural head. The sources are supposed W-Disjoint Orthogonal and their number is assumed known. Their most likely azimuths are computed by means of the Expectation-Maximization algorithm. Application of the method on simulated data is reported, as well as some evaluations of its HARK implementation on experimental data. Two important properties are observed: scattering effects can be coped with, thanks to the required prior knowledge of the (room-independent) head interaural transfer function; the environment noise statistics are handled separately.
  • Keywords
    acoustic signal processing; expectation-maximisation algorithm; HARK; W-disjoint orthogonal sources; environment noise statistics; expectation-maximization algorithm; head interaural transfer function; multiple source source localization; noisy environment; scattering effects; static binaural head; Azimuth; Covariance matrices; Maximum likelihood estimation; Noise; Time-frequency analysis; Tin; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/IROS.2014.6943001
  • Filename
    6943001