A Partitioned Approach to Signal Separation with Microphone Ad Hoc Arrays

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2 Citationer (Scopus)

Resumé

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.
OriginalsprogEngelsk
Artikelnummer07472272
TidsskriftI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
Sider (fra-til)3221-3225
ISSN1520-6149
DOI
StatusUdgivet - 20 mar. 2016
BegivenhedThe 41st IEEE International Conference on Acoustics, Speech and Signal Processing - Shanghai, Kina
Varighed: 20 mar. 201625 mar. 2016
http://www.icassp2016.org/

Konference

KonferenceThe 41st IEEE International Conference on Acoustics, Speech and Signal Processing
LandKina
ByShanghai
Periode20/03/201625/03/2016
Internetadresse

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Microphones
Speech enhancement
Acoustics
Experiments

Citer dette

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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}",
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AU - Tavakoli, Vincent Mohammad

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AU - Benesty, Jacob

AU - Christensen, Mads Græsbøll

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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

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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

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