• DocumentCode
    147200
  • Title

    Tamil speech enhancement using non-linear spectral subtraction

  • Author

    Prabhakaran, G. ; Indra, J. ; Kasthuri, N.

  • Author_Institution
    Control &Instrum., Kongu Eng. Coll., Perundurai, India
  • fYear
    2014
  • fDate
    3-5 April 2014
  • Firstpage
    1482
  • Lastpage
    1485
  • Abstract
    Speech enhancement is a technique used to reduce the background noise present in the speech signal. It simply means the improvement in intelligibility and quality of degraded speech. The noises present in the speech signal are additive noise, echo, reverbration and speaker interference. The aim of the proposed method is to reduce the background noise present in the speech signal by using spectral subtraction techniques. The magnitude of the spectrum of estimated noise is subtracted from the spectrum of noisy speech signal. Five clean speeches are taken as sample speech. Sample noise such as pink noise, white noise and volvo noise are taken from database (TIMIT & NOIZEUS corpus). By using Non-linear spectral subtraction and Multiband spectral subtraction techniques, enhanced speech is obtained. Performance of the above two methods are compared based on the two parameters namely Signal to Noise Ratio and Log Spectral Distance.
  • Keywords
    echo suppression; speech enhancement; speech intelligibility; white noise; NOIZEUS corpus database; TIMITdatabase; Tamil speech enhancement; additive noise; background noise; log spectral distance; multiband spectral subtraction techniques; noisy speech signal; nonlinear spectral subtraction; pink noise; signal-to-noise ratio; speaker interference; volvo noise; white noise; Estimation; Noise measurement; Signal to noise ratio; Speech; Speech enhancement; Multiband Spectral Subtraction (MBSS); Nonlinear Spectral Subtraction (NSS); Spectral Subtraction techniques (SS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2014 International Conference on
  • Conference_Location
    Melmaruvathur
  • Print_ISBN
    978-1-4799-3357-0
  • Type

    conf

  • DOI
    10.1109/ICCSP.2014.6950095
  • Filename
    6950095