• DocumentCode
    2810520
  • Title

    Energy-based multi-speaker voice activity detection with an ad hoc microphone array

  • Author

    Bertrand, Alexander ; Moonen, Marc

  • Author_Institution
    Dept. ESAT, Katholieke Univ. Leuven, Leuven, Belgium
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    In this paper, we propose an energy-based technique to track the power of multiple simultaneous speakers using an ad hoc microphone array with unknown microphone positions. By considering the short-term power of the microphone signals, the problem can be converted into a non-negative blind source separation (NBSS) problem. By exploiting the prior knowledge that the source signals are non-negative and well-grounded, very efficient algorithms can be used to solve this NBSS problem, based only on second order statistics. We provide simulation results that demonstrate the effectiveness of the presented algorithm.
  • Keywords
    acoustic signal processing; blind source separation; microphone arrays; signal detection; speaker recognition; speech processing; ad hoc microphone array; energy-based multispeaker voice activity detection; microphone signals; nonnegative blind source separation; source signals; Blind source separation; Detectors; Independent component analysis; Microphone arrays; Noise reduction; Power measurement; Signal detection; Signal processing algorithms; Speech processing; Statistics; Random arrays; Signal detection; Voice activity detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496183
  • Filename
    5496183