Source separation in noisy and reverberant environment using miniature microphone array

Shuo Li; Milutin Stanacevic

doi:10.1109/ACSSC.2014.7094482

Source separation in noisy and reverberant environment using miniature microphone array

Shuo Li
, Milutin Stanacevic

Electrical Engineering

Stony Brook University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In the unique framework that combines spatial sensing and independent component analysis, we recover the impinging acoustic sources and estimate their direction of arrival on the miniature four microphone array. We examine and quantify the performance of the proposed algorithm under different acquisition noise and reverberant conditions. With artificially generated microphone signals using room acoustic model, the algorithm demonstrates over 10 dB separation in moderate reverberant environments. With the recordings from a miniature microphone array in a typical conference-room environment, the algorithm demonstrates over 10 dB separation performance if the angular distance between two speech sources is over 30 degrees.

Original language	English
Title of host publication	Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	446-449
Number of pages	4
ISBN (Electronic)	9781479982974
DOIs	https://doi.org/10.1109/ACSSC.2014.7094482
State	Published - Apr 24 2015
Event	48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014 - Pacific Grove, United States Duration: Nov 2 2014 → Nov 5 2014

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2015-April
ISSN (Print)	1058-6393
ISSN (Electronic)	2576-2303

Conference

Conference	48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014
Country/Territory	United States
City	Pacific Grove
Period	11/2/14 → 11/5/14

Access to Document

10.1109/ACSSC.2014.7094482

Cite this

Li, S., & Stanacevic, M. (2015). Source separation in noisy and reverberant environment using miniature microphone array. In M. B. Matthews (Ed.), Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014 (pp. 446-449). Article 7094482 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2015-April). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2014.7094482

@inproceedings{3e0d43306401461d9c7f22d65603712b,

title = "Source separation in noisy and reverberant environment using miniature microphone array",

abstract = "In the unique framework that combines spatial sensing and independent component analysis, we recover the impinging acoustic sources and estimate their direction of arrival on the miniature four microphone array. We examine and quantify the performance of the proposed algorithm under different acquisition noise and reverberant conditions. With artificially generated microphone signals using room acoustic model, the algorithm demonstrates over 10 dB separation in moderate reverberant environments. With the recordings from a miniature microphone array in a typical conference-room environment, the algorithm demonstrates over 10 dB separation performance if the angular distance between two speech sources is over 30 degrees.",

author = "Shuo Li and Milutin Stanacevic",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014 ; Conference date: 02-11-2014 Through 05-11-2014",

year = "2015",

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doi = "10.1109/ACSSC.2014.7094482",

language = "English",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

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Li, S & Stanacevic, M 2015, Source separation in noisy and reverberant environment using miniature microphone array. in MB Matthews (ed.), Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014., 7094482, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2015-April, IEEE Computer Society, pp. 446-449, 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014, Pacific Grove, United States, 11/2/14. https://doi.org/10.1109/ACSSC.2014.7094482

Source separation in noisy and reverberant environment using miniature microphone array. / Li, Shuo; Stanacevic, Milutin.
Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014. ed. / Michael B. Matthews. IEEE Computer Society, 2015. p. 446-449 7094482 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2015-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Stanacevic, Milutin

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N2 - In the unique framework that combines spatial sensing and independent component analysis, we recover the impinging acoustic sources and estimate their direction of arrival on the miniature four microphone array. We examine and quantify the performance of the proposed algorithm under different acquisition noise and reverberant conditions. With artificially generated microphone signals using room acoustic model, the algorithm demonstrates over 10 dB separation in moderate reverberant environments. With the recordings from a miniature microphone array in a typical conference-room environment, the algorithm demonstrates over 10 dB separation performance if the angular distance between two speech sources is over 30 degrees.

AB - In the unique framework that combines spatial sensing and independent component analysis, we recover the impinging acoustic sources and estimate their direction of arrival on the miniature four microphone array. We examine and quantify the performance of the proposed algorithm under different acquisition noise and reverberant conditions. With artificially generated microphone signals using room acoustic model, the algorithm demonstrates over 10 dB separation in moderate reverberant environments. With the recordings from a miniature microphone array in a typical conference-room environment, the algorithm demonstrates over 10 dB separation performance if the angular distance between two speech sources is over 30 degrees.

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BT - Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014

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Li S, Stanacevic M. Source separation in noisy and reverberant environment using miniature microphone array. In Matthews MB, editor, Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2014. IEEE Computer Society. 2015. p. 446-449. 7094482. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ACSSC.2014.7094482

Source separation in noisy and reverberant environment using miniature microphone array

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