• DocumentCode
    2958651
  • Title

    Noise reduction combining microphones and laser listening devices

  • Author

    Matsumoto, Mitsuharu ; Abe, Tomomi ; Hashimoto, Shuji

  • Author_Institution
    Dept. of Appl. Phys., Waseda Univ., Tokyo
  • fYear
    2008
  • fDate
    5-8 Aug. 2008
  • Firstpage
    104
  • Lastpage
    109
  • Abstract
    This paper describes noise reduction combining microphones and laser listening devices. A microphone array is one of the useful approaches for reducing the noise. However, when the microphones are mounted on robot systems, the problem of internal noise from robots such as motors and gears arises. It is difficult to reduce the internal noise utilizing the conventional microphone array because the noise source is extremely close to the microphones. As the internal noise is not always stationary or sparse, some useful blind source separation (BSS) approaches such as Independent Component Analysis (ICA) and sparseness approach cannot be employed. Our aim is to reduce the internal noise by a sensor fusion of microphones and laser listening devices. In this paper, we describe the problem of the typical microphone array and show the design of the laser listening devices. Noise reduction combining microphones and laser listening devices is then described. Experimental results are also given to show the effectiveness of the proposed method.
  • Keywords
    blind source separation; independent component analysis; microphone arrays; noise; robots; blind source separation; independent component analysis; internal noise; laser listening devices; microphone array; noise reduction; robot systems; Blind source separation; Gears; Independent component analysis; Laser fusion; Laser noise; Micromotors; Microphone arrays; Noise reduction; Robots; Source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2008. ICMA 2008. IEEE International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-1-4244-2631-7
  • Electronic_ISBN
    978-1-4244-2632-4
  • Type

    conf

  • DOI
    10.1109/ICMA.2008.4798734
  • Filename
    4798734