• DocumentCode
    3326012
  • Title

    Subband dereverberation algorithm for noisy environments

  • Author

    Shi, Guangji ; Ma, Changxue

  • Author_Institution
    DTS Inc., Scotts Valley, CA, USA
  • fYear
    2012
  • fDate
    12-14 Jan. 2012
  • Firstpage
    127
  • Lastpage
    130
  • Abstract
    In hands-free voice applications (including voice communication and voice recognition), the captured signal is severely degraded by reverberation when a talker is further away from the microphone. Reverberation significantly degrades speech quality and speech recognition accuracy. As a result, it is necessary to suppress reverberation. Spectral subtraction based approach has been used for reverberation reduction. In this paper, an efficient subband de-reverberation approach based on spectral subtraction is proposed. The Algorithm is able to effectively reduce reverberation in noisy environments while maintaining low complexity and low signal distortion level.
  • Keywords
    distortion; interference suppression; microphones; reverberation; speech recognition; voice communication; captured signal; hands-free voice applications; microphone; noisy environments; reverberation reduction; signal distortion; spectral subtraction; speech quality; speech recognition accuracy; subband dereverberation; voice communication; voice recognition; Algorithm design and analysis; Gain; Noise; Partitioning algorithms; Reflection; Reverberation; Speech; Dereverberation; Spectral Subtraction; noise suppression; subband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Signal Processing Applications (ESPA), 2012 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4673-0899-1
  • Type

    conf

  • DOI
    10.1109/ESPA.2012.6152462
  • Filename
    6152462