• DocumentCode
    3020191
  • Title

    DSP integration of sound source localization and multi-channel Wiener filter

  • Author

    Lee, Byoung-Gi ; Kim, Hyun-Dong ; Choi, Jong-Suk ; Kim, Seyun ; Cho, Nam Ik

  • Author_Institution
    Korea Inst. of Sci. & Technol., Seoul, South Korea
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    4830
  • Lastpage
    4835
  • Abstract
    This paper describes a DSP integration of sound source localization (SSL) and multi-channel Wiener filter (MWF). To develop a robot audition system, we integrated SSL module and MWF module into a DSP system. SSL is a module to perceive the direction of a human user´s call. It measures time delay of arrival among microphones and estimates the direction of sound source. Also, it post-processes the resulted estimations of direction by histogram to perceive the direction robustly under noisy environment. MWF is a module to reduce background noises from raw voice signal to enhance the performance of robot´s speech recognition. It gathers information of background noises during noise-period and then reduces noises during voice-period. This SSL-MWF combination system will be a cheap, high-performing and convenient solution for robot audition.
  • Keywords
    Wiener filters; digital signal processing chips; hearing; robots; speech recognition; DSP integration; multichannel Wiener filter; robot audition system; robot speech recognition; sound source localization; time delay of arrival measurement; Acoustic noise; Background noise; Delay effects; Digital signal processing; Humans; Noise reduction; Robots; Time measurement; Wiener filter; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509565
  • Filename
    5509565