• DocumentCode
    3529600
  • Title

    Efficient musical noise suppression for speech enhancement system

  • Author

    Esch, Thomas ; Vary, Peter

  • Author_Institution
    Inst. of Commun. Syst. & Data Process., RWTH Aachen Univ., Aachen
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    4409
  • Lastpage
    4412
  • Abstract
    Noise reduction techniques that are relying on spectral weighting rules often generate annoying musical noise artifacts in the processed signal. In this paper, we present a postfilter (PF) for the spectral weighting gains that is capable of reducing musical noise in a simple but efficient way. It includes a robust detector for speech pauses and low SNR conditions and adaptively smoothes the weighting gains over frequency based on soft-decisions. Objective and subjective measurements show consistent improvements if the postfilter is applied to conventional noise reduction techniques.
  • Keywords
    filtering theory; interference suppression; noise abatement; signal denoising; spectral analysis; speech enhancement; SNR conditions; musical noise artifacts; musical noise reduction; musical noise suppression; noise reduction techniques; postfilter; signal processing; spectral weighting rules; speech enhancement system; Detectors; Frequency; Noise generators; Noise measurement; Noise reduction; Noise robustness; Signal generators; Signal processing; Signal to noise ratio; Speech enhancement; Speech enhancement; adaptive smoothing; musical noise; postfilter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960607
  • Filename
    4960607