Sound source separation via computational auditory scene analysis-enhanced beamforming

Laura Drake; Aggelos K Katsaggelos; Janet C. Rutledge; Jun Zhangl

doi:10.1109/SAM.2002.1191040

Sound source separation via computational auditory scene analysis-enhanced beamforming

Laura Drake, Aggelos K Katsaggelos, Janet C. Rutledge, Jun Zhangl

Electrical and Computer Engineering

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

2 Scopus citations

Abstract

This paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures.The efficacy of this approach is demonstrated by experimental results.

Original language	English (US)
Title of host publication	2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002
Publisher	IEEE Computer Society
Pages	259-263
Number of pages	5
Volume	2002-January
ISBN (Electronic)	0780375513
DOIs	https://doi.org/10.1109/SAM.2002.1191040
State	Published - Jan 1 2002
Event	IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 - Rosslyn, United States Duration: Aug 4 2002 → Aug 6 2002

Other

Other	IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002
Country/Territory	United States
City	Rosslyn
Period	8/4/02 → 8/6/02

ASJC Scopus subject areas

Signal Processing
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/SAM.2002.1191040

Cite this

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title = "Sound source separation via computational auditory scene analysis-enhanced beamforming",

abstract = "This paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures.The efficacy of this approach is demonstrated by experimental results.",

author = "Laura Drake and Katsaggelos, {Aggelos K} and Rutledge, {Janet C.} and Jun Zhangl",

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doi = "10.1109/SAM.2002.1191040",

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booktitle = "2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002",

publisher = "IEEE Computer Society",

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note = "IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 ; Conference date: 04-08-2002 Through 06-08-2002",

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Drake, L, Katsaggelos, AK, Rutledge, JC & Zhangl, J 2002, Sound source separation via computational auditory scene analysis-enhanced beamforming. in 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002. vol. 2002-January, 1191040, IEEE Computer Society, pp. 259-263, IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002, Rosslyn, United States, 8/4/02. https://doi.org/10.1109/SAM.2002.1191040

Sound source separation via computational auditory scene analysis-enhanced beamforming. / Drake, Laura; Katsaggelos, Aggelos K; Rutledge, Janet C.; Zhangl, Jun.

2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002. Vol. 2002-January IEEE Computer Society, 2002. p. 259-263 1191040.

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

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AU - Drake, Laura

AU - Katsaggelos, Aggelos K

AU - Rutledge, Janet C.

AU - Zhangl, Jun

PY - 2002/1/1

Y1 - 2002/1/1

N2 - This paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures.The efficacy of this approach is demonstrated by experimental results.

AB - This paper describes a new approach to sound source separation, called computational auditory scene analysis-enhanced beamforming (CASA-EB). It achieves increased signal separation performance by combining beamforming with an auditory model (CASA). The motivation for combining them is that they are complementary, i.e., they use independent signal attributes, and as a result, CASA-EB can separate more types of mixtures.The efficacy of this approach is demonstrated by experimental results.

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M3 - Conference contribution

AN - SCOPUS:24944468393

VL - 2002-January

SP - 259

EP - 263

BT - 2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002

PB - IEEE Computer Society

T2 - IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002

Y2 - 4 August 2002 through 6 August 2002

ER -

Sound source separation via computational auditory scene analysis-enhanced beamforming

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