• DocumentCode
    3519739
  • Title

    Sound localisation with a silicon cochlea pair

  • Author

    Van Schaik, André ; Chan, Vincent ; Jin, Craig

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2197
  • Lastpage
    2200
  • Abstract
    A neuromorphic sound localisation system is proposed. It employs two microphones and a pair of silicon cochleae with address event interface for front-end processing. This allows subsequent processing to be implemented with spike-based algorithms. The system is adaptive and supports online learning. Its localisation capability was tested with white noise and pure tone stimuli, with an average error of around 3deg in the -45deg to 45deg range.
  • Keywords
    acoustic signal processing; address event interface; front-end processing; microphones; neuromorphic sound localisation system; online learning; silicon cochlea pair; spike-based algorithms; Acoustical engineering; Adaptive systems; Australia; Azimuth; Band pass filters; Frequency estimation; Microphones; Neuromorphics; Robot kinematics; Silicon; Auditory neuroscience; neuromorphic engineering; sound localisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960054
  • Filename
    4960054
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3519739