• DocumentCode
    2810141
  • Title

    Improving speech intelligibility in an adverse condition using subband spectral subtraction method

  • Author

    Makhijani, Rashmi ; Shrawankar, Urmila ; Thakare, V.M.

  • Author_Institution
    Deptt. of C.S.E, G.H.Raisoni Coll. of Eng., Nagpur, India
  • fYear
    2011
  • fDate
    10-12 Feb. 2011
  • Firstpage
    168
  • Lastpage
    170
  • Abstract
    Many people have great difficulty in Understanding speech with background noise. Speech Enhancement plays a vital role in such situations. The background noise has to be removed from the noisy speech signal to increase the signal intelligibility and to reduce the listener fatigue. In this paper, a novel approach is used to enhance the perceived quality of the speech signal when the additive noise cannot be directly controlled. The proposed approach is a speech enhancement method based on the preprocessed sub band spectral subtraction method, and the preprocessing is done by using partial differential equation.
  • Keywords
    partial differential equations; signal denoising; spectral analysis; speech enhancement; speech intelligibility; additive noise; background noise; noisy speech signal; partial differential equation; signal intelligibility; speech enhancement method; speech intelligibility; subband spectral subtraction method; Accuracy; Artificial neural networks; Filtering; Noise measurement; Speech; Adaptive noise estimation; IS distance; Partial differential equation; Signal to Noise ratio; Sub band Spectral Subtraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2011 International Conference on
  • Conference_Location
    Calicut
  • Print_ISBN
    978-1-4244-9798-0
  • Type

    conf

  • DOI
    10.1109/ICCSP.2011.5739293
  • Filename
    5739293