• DocumentCode
    2540996
  • Title

    Perceptually weighted multi-band spectral subtraction speech enhancement technique

  • Author

    Chowdhury, Md Faqrul Alam ; Alam, Md Jahangir ; Alam, Md Fasiul ; O´Shaughnessy, Douglas

  • Author_Institution
    Dept. of EEE, BUET, Dhaka
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    395
  • Lastpage
    399
  • Abstract
    It is gaining extensive research concentration to estimate a suitable factor that will subtract just the necessary amount of the noise spectrum from each frequency bin (ideally) to prevent destructive subtraction of the speech while removing most of the residual noise. Considering the advantage of multi-band spectral subtraction method which takes into account the fact that colored noise affects the speech spectrum differently at various frequencies and also of perceptual frequency weighting technique that allows for an automatic adaptation in the time and frequency of the enhancement system and finds a suitable noise estimate according to the frequency of the corrupted speech, our proposed method offers a better spectral approximation of the clean speech signal than these two method.
  • Keywords
    approximation theory; noise; speech enhancement; noise spectrum; perceptually weighted multiband spectral subtraction; residual noise removal; spectral approximation; speech enhancement technique; Additive noise; Colored noise; Electronic mail; Filters; Frequency estimation; Noise level; Signal processing; Speech coding; Speech enhancement; Working environment noise; MBSS; perceptual weighting filter; spectral subtraction; speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2008. ICECE 2008. International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4244-2014-8
  • Electronic_ISBN
    978-1-4244-2015-5
  • Type

    conf

  • DOI
    10.1109/ICECE.2008.4769239
  • Filename
    4769239