Nested generalized sidelobe canceller for joint dereverberation and noise reduction

Ofer Schwartz, Sharon Gannot, Emanuel A.P. Habets

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

Speech signal is often contaminated by both room reverberation and ambient noise. In this contribution, we propose a nested generalized sidelobe canceller (GSC) beamforming structure, comprising an inner and an outer GSC beamformers (BFs), that decouple the speech dereverberation and the noise reduction operations. The BFs are implemented in the short-time Fourier transform (STFT) domain. Two alternative reverberation models are adopted. In the first, used in the inner GSC, reverberation is assumed to comprise a coherent early component and a late reverberant component. In the second, used in the outer GSC, the influence of the entire acoustic transfer function (ATF) is modeled as a convolution along the frame index in each frequency. Unlike other BF designs for this problem that must be updated in each time-frame, the proposed BF is time-invariant in static scenarios. Experiments with both simulated and recorded environments verify the effectiveness of the proposed structure.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages106-110
Number of pages5
ISBN (Electronic)9781467369978
DOIs
StatePublished - 4 Aug 2015
Event40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia
Duration: 19 Apr 201424 Apr 2014

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2015-August
ISSN (Print)1520-6149

Conference

Conference40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Country/TerritoryAustralia
CityBrisbane
Period19/04/1424/04/14

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Dereverberation
  • Noise reduction

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