• DocumentCode
    1749389
  • Title

    Acoustic source direction by hemisphere sampling

  • Author

    Birchfield, Stanley T. ; Gillmor, Daniel Kahn

  • Author_Institution
    Quindi Corp., Palo Alto, CA, USA
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3053
  • Abstract
    A method for estimating the direction to a sound source, using a compact array of microphones, is presented. For each pair of microphones, the signals are prefiltered and correlated. Rather than taking the peak of the correlation vectors as estimates for the time delay between the microphones, all the correlation vectors are accumulated in a common coordinate system, namely a unit hemisphere centered on the microphone array. The maximum cell in the hemisphere then indicates the azimuthal and elevation angles to the source. Unlike previous techniques, this algorithm is applicable to arbitrary microphone configurations, handles more than two microphone pairs, and has no blind spots. Experiments demonstrate significantly increased robustness to noise, compared with previous techniques
  • Keywords
    acoustic correlation; acoustic signal processing; array signal processing; delay estimation; microphones; signal sampling; acoustic source direction estimation; arbitrary microphone configurations; azimuthal angles; common coordinate system; correlation vectors; elevation angles; hemisphere sampling; microphone array; noise robustness; sound source; time delay estimation; Acoustic noise; Acoustic propagation; Additive noise; Delay effects; Delay estimation; Filters; Microphone arrays; Noise robustness; Reverberation; Sampling methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940302
  • Filename
    940302