• DocumentCode
    2161263
  • Title

    Elimination of Musical Noise Phenomenon with Burg-Based A Priori SNR Estimator

  • Author

    Xu, Yaohua ; Guo, Ying ; Li, Wei ; Fan, HaiLing

  • Volume
    5
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    328
  • Lastpage
    332
  • Abstract
    In order to eliminate the musical noise remained in the results enhanced by short-time spectral attenuation techniques, this paper proposes a novel a priori SNR estimator. The proposed estimator is built on Burg-based power spectral estimation, which takes into account the properties in estimator of smoothness, accuracy and resolution, with the emphasis on their relationships and influences on de-noising. The experimental results demonstrate that: if the proposed estimator is incorporated into the noise suppressor using minimum mean-square error (MMSE) method or log-spectral minimum mean-square error (LSA-MMSE) method, better results will be achieved with the musical noise greatly eliminated and distortion reduced further.
  • Keywords
    Attenuation; Degradation; Noise reduction; Power engineering and energy; Signal processing; Signal to noise ratio; Speech analysis; Speech enhancement; Testing; Working environment noise; a priori SNR estimator; de-noise; music noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2008. CISP '08. Congress on
  • Conference_Location
    Sanya, China
  • Print_ISBN
    978-0-7695-3119-9
  • Type

    conf

  • DOI
    10.1109/CISP.2008.373
  • Filename
    4566843