• DocumentCode
    2963920
  • Title

    Two-Stage Dereverberation with Integrated Reverberation and Noise Estimation

  • Author

    Sugiyama, Akihiko ; Gattoni, L.

  • Author_Institution
    Media & Inf. Res. Lab., NEC Corp., Kawasaki
  • fYear
    2006
  • fDate
    24-27 Sept. 2006
  • Firstpage
    322
  • Lastpage
    327
  • Abstract
    This paper proposes a two-stage dereverberation algorithm with integrated reverberation and noise estimation. In the first stage, an inverse filter to the room impulse response suppresses reverberation by early reflections. Minimum mean-square error short-time spectral amplitude estimator in the second stage minimizes influence of both late reflections and ambient noise, simultaneously. Due to this integrated structure, a postprocessing noise suppressor can be eliminated. Evaluations with different room impulse responses show that the maximum ACR (absolute category rating) score improvement over a conventional algorithm exceeds 1.0. It is also shown that a CCR (comparison category rating) score of as much as 1.3 is obtained compared to the conventional algorithms
  • Keywords
    amplitude estimation; filtering theory; least mean squares methods; reverberation; signal denoising; spectral analysis; transient response; inverse filter; minimum mean-square error; noise estimation; noise suppression; room impulse response; spectral amplitude estimator; two-stage dereverberation algorithm; Acoustic reflection; Convolution; Finite impulse response filter; Frequency domain analysis; Frequency estimation; Microphones; Reverberation; Signal processing; Smoothing methods; Speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th
  • Conference_Location
    Teton National Park, WY
  • Print_ISBN
    1-4244-3534-3
  • Electronic_ISBN
    1-4244-0535-1
  • Type

    conf

  • DOI
    10.1109/DSPWS.2006.265399
  • Filename
    4041082