• DocumentCode
    1852199
  • Title

    Incorporating auditory properties into generalised sidelobe canceller

  • Author

    Borowicz, Adam ; Petrovsky, Alexandr

  • Author_Institution
    Dept. of Digital Media & Comput. Graphics, Bialystok Univ. of Technol., Bialystok, Poland
  • fYear
    2012
  • fDate
    27-31 Aug. 2012
  • Firstpage
    589
  • Lastpage
    593
  • Abstract
    A novel speech enhancement method based on generalized sidelobe canceller (GSC) and auditory properties is presented. We show that it is possible to reduce audible speech distortions and preserve residual noise level under system model uncertainties. It can be done by constraining a speech leakage power according to masking effect phenomena. An optimal noise cancellation filter is derived using constrained minimization of the residual noise power. We implemented the GSC structure using a simple delay-and-sum beamformer and corresponding (delays-dependent) blocking matrix. Finally a comparative evaluation of the selected methods is performed using objective speech quality measures. The results show that the novel method outperforms conventional one providing lower speech distortions and comparable noise attenuation.
  • Keywords
    acoustic distortion; array signal processing; filtering theory; interference suppression; matrix algebra; speech enhancement; GSC structure; audible speech distortions; auditory properties; blocking matrix; constrained minimization; delay-and-sum beamformer; generalised sidelobe canceller; masking effect phenomena; objective speech quality measures; optimal noise cancellation filter; residual noise level; speech enhancement method; speech leakage power; system model uncertainties; Masking threshold; Microphones; Noise; Noise measurement; Speech; Speech enhancement; Uncertainty; GSC; beamforming; speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • Conference_Location
    Bucharest
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6334067