A Partitioned Approach to Signal Separation with Microphone Ad Hoc Arrays

Vincent Mohammad Tavakoli, Jesper Rindom Jensen, Jacob Benesty, Mads Græsbøll Christensen

Research output: Contribution to journalConference article in JournalResearchpeer-review

5 Citations (Scopus)
1 Downloads (Pure)

Abstract

In this paper, a blind algorithm is proposed for speech enhancement in multi-speaker scenarios, in which interference rejection is the main objective. Here, the ad hoc array is broken into microphone duples which are used to partition the array into local sub-arrays. The core algorithm takes advantage of differences in signal structure in each duple. A geometric mean filter is then used to merge the output signals obtained with different duples, and to form a global broadband maximum signal-to-interference ratio (SIR) enhancement apparatus. The resulting filter outputs are enhanced acoustic signals in terms of SIR, as shown with experiments.
Original languageEnglish
Article number07472272
JournalI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
Pages (from-to)3221-3225
ISSN1520-6149
DOIs
Publication statusPublished - 20 Mar 2016
EventThe 41st IEEE International Conference on Acoustics, Speech and Signal Processing - Shanghai, China
Duration: 20 Mar 201625 Mar 2016
http://www.icassp2016.org/

Conference

ConferenceThe 41st IEEE International Conference on Acoustics, Speech and Signal Processing
CountryChina
CityShanghai
Period20/03/201625/03/2016
Internet address

Keywords

  • speech enhancement
  • signal separation
  • multichannel
  • microphone array
  • ad hoc array

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