A frequency-selecting multichannel equalization method for speech dereverberation

Wancheng Zhang, Yiming Yan, Tianyi Wang, Zunwen He

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

1 Citation (Scopus)

Abstract

A frequency-selecting approach is proposed for robust multichannel dereverberation in the presence of system identification errors (SIEs), based on subband equalization of acoustic channels. Same as the full-band counterpart, performance of the subband multichannel equalizer (SB-MCEQ) degrades in the presence of SIEs. Firstly performance of the SB-MCEQ in different subbands is investigated. Statistical results show that the performance of SB-MCEQ degrades severely only in a few subbands, and they will be called 'bad' subbands. Then a frequency-selecting multichannel equalization (FS-MCEQ) algorithm is proposed, which abandons the subband signals of the 'bad' subbands or leaves them unprocessed at reconstruction of the full-band signal from the subband signals. Simulation results confirm that the FS-MCEQ algorithm outperforms the SB-MCEQ in the presence of SIEs.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Digital Signal Processing, DSP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages158-162
Number of pages5
ISBN (Electronic)9781479980581, 9781479980581
DOIs
Publication statusPublished - 9 Sept 2015
EventIEEE International Conference on Digital Signal Processing, DSP 2015 - Singapore, Singapore
Duration: 21 Jul 201524 Jul 2015

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2015-September

Conference

ConferenceIEEE International Conference on Digital Signal Processing, DSP 2015
Country/TerritorySingapore
CitySingapore
Period21/07/1524/07/15

Keywords

  • dereverberation
  • multichannel equalization
  • multirate signal processing
  • system identification errors

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