• DocumentCode
    1689537
  • Title

    Multichannel signal enhancement using non-causal, time-domain filters

  • Author

    Jensen, Jesper Rindom ; Christensen, Mads Grasboll ; Benesty, Jacob

  • Author_Institution
    Audio Anal. Lab., Aalborg Univ., Aalborg, Denmark
  • fYear
    2013
  • Firstpage
    7274
  • Lastpage
    7278
  • Abstract
    In the vast amount of time-domain filtering methods for speech enhancement, the filters are designed to be causal. Recently, however, it was shown that the noise reduction and signal distortion capabilities of such single-channel filters can be improved by allowing the filters to be non-causal. While non-causal filters require knowledge of the future, they can be implemented in practice by introducing a short delay. In this paper, we generalize the idea of exploiting non-causality in optimal filter designs to the multichannel scenario. More specifically, a set of optimal, non-causal, multichannel filters for enhancement based on an orthogonal decomposition is proposed. The evaluation shows that there is a potential gain in noise reduction and signal distortion by introducing non-causality. Moreover, experiments on real-life speech show that we can improve the perceptual quality.
  • Keywords
    filtering theory; interference suppression; signal processing; speech enhancement; multichannel filters; multichannel signal enhancement; noise reduction; noncausal filters; noncausality; optimal filter designs; orthogonal decomposition; signal distortion; single channel filters; speech enhancement; time domain filtering methods; time domain filters; Optical noise; Signal to noise ratio; Speech; Speech enhancement; Vectors; Signal enhancement; multichannel; non-causal; time-domain filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6639075
  • Filename
    6639075