A Partitioned Approach to Signal Separation with Microphone Ad Hoc Arrays

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3 Citations (Scopus)

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

Fingerprint

Microphones
Speech enhancement
Acoustics
Experiments

Keywords

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

Cite this

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title = "A Partitioned Approach to Signal Separation with Microphone Ad Hoc Arrays",
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.",
keywords = "speech enhancement, signal separation, multichannel, microphone array, ad hoc array",
author = "Tavakoli, {Vincent Mohammad} and Jensen, {Jesper Rindom} and Jacob Benesty and Christensen, {Mads Gr{\ae}sb{\o}ll}",
year = "2016",
month = "3",
day = "20",
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journal = "I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings",
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publisher = "IEEE Signal Processing Society",

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T1 - A Partitioned Approach to Signal Separation with Microphone Ad Hoc Arrays

AU - Tavakoli, Vincent Mohammad

AU - Jensen, Jesper Rindom

AU - Benesty, Jacob

AU - Christensen, Mads Græsbøll

PY - 2016/3/20

Y1 - 2016/3/20

N2 - 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.

AB - 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.

KW - speech enhancement

KW - signal separation

KW - multichannel

KW - microphone array

KW - ad hoc array

U2 - 10.1109/ICASSP.2016.7472272

DO - 10.1109/ICASSP.2016.7472272

M3 - Conference article in Journal

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EP - 3225

JO - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings

JF - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings

SN - 1520-6149

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