• DocumentCode
    542323
  • Title

    Noise reduction using a small-scale microphone array in multi noise source environment

  • Author

    Akagi, Masato ; Kago, Takashi

  • Author_Institution
    School of Information Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Tatsunokuchi, Ishikawa 923-1292, Japan
  • Volume
    1
  • fYear
    2002
  • fDate
    13-17 May 2002
  • Abstract
    To construct a front-end for ASR systems using a small-scale microphone array in real environments, robustness for unstable sudden-noises, multi-noises and near-field sound sources are required. This paper proposes a front-end method for enhancing target signals that subtracts estimated noise from noisy signals by using paired microphones in each sub-band. The proposed method assumes one integrated noise source exists in each narrow sub-band, estimates its noise spectrum correctly using the cancellation method, and subtracts it from the noise-added sound spectrum using the SS. Thus, the proposed method can be used in multi noise source and near-field conditions, although it uses a small-scale microphone array consisting of only three microphones.
  • Keywords
    Artificial neural networks; Noise; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
  • Conference_Location
    Orlando, FL, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.2002.5743887
  • Filename
    5743887