• DocumentCode
    2873823
  • Title

    Binaural Sound Localization Based on Detection of Multi-band Zero-Crossing Points

  • Author

    Li Cong-qing ; Dai Shi-jie ; Wu Fang ; Huang He ; Sun Li-xin ; Sun Li-ying

  • Author_Institution
    Sch. of Mech. Eng., Hebei Univ. of Technol., Tianjin, China
  • fYear
    2009
  • fDate
    1-3 Nov. 2009
  • Firstpage
    393
  • Lastpage
    396
  • Abstract
    A method of binaural sound localization based on detection of multi-band zero-crossing points generated from binaural filter-band outputs is presented. In the presented method, the ITD values are estimated by a histogram weighted by the estimated source noise rate(SNR) computed from the variances of ITD samples. As a result, the method provides an accurate estimate of sound source direction and is more robust to noise. To verify the validity of the method, simulations for sound localization are performed under the condition of white noise. The simulation results show that the method is able to provide an accurate estimate of sound source direction and is more robust to noise while offering significantly less computational complexity compared to the conventional cross-correlation based methods.
  • Keywords
    acoustic signal processing; computational complexity; correlation methods; filtering theory; white noise; ITD values; binaural filter-band outputs; binaural sound localization; computational complexity; cross-correlation based methods; estimated source noise rate; interaural time differences; multiband zero-crossing points detection; white noise; Acoustic noise; Computational complexity; Computational modeling; Frequency; Humans; Intelligent networks; Noise robustness; Signal to noise ratio; Sun; Working environment noise; multi-band; sound source localization; zero-crossing points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-5557-7
  • Electronic_ISBN
    978-0-7695-3852-5
  • Type

    conf

  • DOI
    10.1109/ICINIS.2009.107
  • Filename
    5366827