• DocumentCode
    1628139
  • Title

    Speech enhancement based on nonlinear spectral subtraction

  • Author

    Poruba, Jiri

  • Author_Institution
    Fac. of Electr. Eng. & Comput. Sci., Brno Univ. of Technol., Czech Republic
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Abstract
    The spectral subtraction method is the most suitable technique for the elimination of stationary noise from degraded speech signal. In this article the basic principles of nonlinear spectral subtraction are described, which optimise the subtractive factor in dependence on input-degraded speech signal. In this way the undesirable musical noise remainder can be suppressed, which rises after a spectral subtraction. The obtained results are computed with the standard spectral subtraction method.
  • Keywords
    speech enhancement; musical noise remainder; noise reduction; nonlinear spectral subtraction; single channel; speech enhancement; stationary noise; Acoustic noise; Acoustic signal detection; Cellular phones; Computer science; Degradation; Frequency estimation; Noise level; Signal to noise ratio; Speech enhancement; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Devices, Circuits and Systems, 2002. Proceedings of the Fourth IEEE International Caracas Conference on
  • Print_ISBN
    0-7803-7380-4
  • Type

    conf

  • DOI
    10.1109/ICCDCS.2002.1004114
  • Filename
    1004114