• DocumentCode
    3510798
  • Title

    Comparison of frequency domain noise reduction strategies based on multichannel Wiener filtering and spatial prediction

  • Author

    Cornelis, Bram ; Moonen, Marc ; Wouters, Jan

  • Author_Institution
    Dept. of Electr. Eng., Katholieke Univ. Leuven, Leuven
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    In this paper two multichannel noise reduction strategies are compared in the context of binaural hearing aids. Recently a novel noise reduction method based on spatial-temporal prediction (STP) was introduced which showed an improvement over methods based on multichannel Wiener filtering, although at the cost of a higher computational complexity. Whereas this newmethod operates in the time domain, hearing aids typically demand faster frequency domain implementations. In this paper we therefore propose a frequency domain equivalent of the STP method. The performance of the new so-called spatial prediction (SP) method will be compared to a frequency domain implementation of the speech distortion weighted multichannel Wiener filter (SDW-MWF), theoretically as well as based on simulations with a binaural hearing aid configuration. It will be shown that the frequency domain SP method still achieves some improvement over the SDW-MWF, at the cost of higher computational complexity.
  • Keywords
    Wiener filters; filtering theory; hearing aids; noise abatement; speech processing; Wiener filtering; binaural hearing aids; frequency domain noise; multichannel filtering; multichannel noise; noise reduction strategies; spatial prediction method; spatial-temporal prediction; speech distortion; Auditory system; Computational complexity; Computational modeling; Costs; Frequency domain analysis; Hearing aids; Noise reduction; Predictive models; Speech; Wiener filter; binaural hearing aids; multichannel Wiener filtering; noise reduction; spatial-temporal prediction;
  • 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.2009.4959537
  • Filename
    4959537