Performance of Independent Component Analysis When Used to Separate Competing Acoustic Sources in Anechoic and Reverberant Conditions
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P. Kendrick, and B. Shirley, "Performance of Independent Component Analysis When Used to Separate Competing Acoustic Sources in Anechoic and Reverberant Conditions," Paper 7413, (2008 May.). doi:
P. Kendrick, and B. Shirley, "Performance of Independent Component Analysis When Used to Separate Competing Acoustic Sources in Anechoic and Reverberant Conditions," Paper 7413, (2008 May.). doi:
Abstract: A review of existing methods for independent component analysis was carried out and a series of experiments
conducted assessing the use of existing independent component analysis (ICA) methods to separate microphone
sources in varied acoustic environments. Specifically the research looked at how effectively ICA could perform in a
broadcast context using standard microphone techniques such as spaced omni and coincident crossed cardioid pairs.
Experiments were carried out in an anechoic chamber and also in a listening room conforming to the ITU-R
BS.1116-2 standard. Comparisons showed a large variance in the performance of different ICA algorithms and
results clearly indicate the limitations of ICA when performed on audio material recorded in a reverberant
environment however it was still shown possible to achieve separation of signals of up to 12dB even in these
conditions.
@article{kendrick2008performance,
author={kendrick, paul and shirley, ben},
journal={journal of the audio engineering society},
title={performance of independent component analysis when used to separate competing acoustic sources in anechoic and reverberant conditions},
year={2008},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{kendrick2008performance,
author={kendrick, paul and shirley, ben},
journal={journal of the audio engineering society},
title={performance of independent component analysis when used to separate competing acoustic sources in anechoic and reverberant conditions},
year={2008},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={a review of existing methods for independent component analysis was carried out and a series of experiments
conducted assessing the use of existing independent component analysis (ica) methods to separate microphone
sources in varied acoustic environments. specifically the research looked at how effectively ica could perform in a
broadcast context using standard microphone techniques such as spaced omni and coincident crossed cardioid pairs.
experiments were carried out in an anechoic chamber and also in a listening room conforming to the itu-r
bs.1116-2 standard. comparisons showed a large variance in the performance of different ica algorithms and
results clearly indicate the limitations of ica when performed on audio material recorded in a reverberant
environment however it was still shown possible to achieve separation of signals of up to 12db even in these
conditions.},}
TY - paper
TI - Performance of Independent Component Analysis When Used to Separate Competing Acoustic Sources in Anechoic and Reverberant Conditions
SP -
EP -
AU - Kendrick, Paul
AU - Shirley, Ben
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2008
TY - paper
TI - Performance of Independent Component Analysis When Used to Separate Competing Acoustic Sources in Anechoic and Reverberant Conditions
SP -
EP -
AU - Kendrick, Paul
AU - Shirley, Ben
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2008
AB - A review of existing methods for independent component analysis was carried out and a series of experiments
conducted assessing the use of existing independent component analysis (ICA) methods to separate microphone
sources in varied acoustic environments. Specifically the research looked at how effectively ICA could perform in a
broadcast context using standard microphone techniques such as spaced omni and coincident crossed cardioid pairs.
Experiments were carried out in an anechoic chamber and also in a listening room conforming to the ITU-R
BS.1116-2 standard. Comparisons showed a large variance in the performance of different ICA algorithms and
results clearly indicate the limitations of ICA when performed on audio material recorded in a reverberant
environment however it was still shown possible to achieve separation of signals of up to 12dB even in these
conditions.
A review of existing methods for independent component analysis was carried out and a series of experiments
conducted assessing the use of existing independent component analysis (ICA) methods to separate microphone
sources in varied acoustic environments. Specifically the research looked at how effectively ICA could perform in a
broadcast context using standard microphone techniques such as spaced omni and coincident crossed cardioid pairs.
Experiments were carried out in an anechoic chamber and also in a listening room conforming to the ITU-R
BS.1116-2 standard. Comparisons showed a large variance in the performance of different ICA algorithms and
results clearly indicate the limitations of ICA when performed on audio material recorded in a reverberant
environment however it was still shown possible to achieve separation of signals of up to 12dB even in these
conditions.
Authors:
Kendrick, Paul; Shirley, Ben
Affiliation:
University of Salford
AES Convention:
124 (May 2008)
Paper Number:
7413
Publication Date:
May 1, 2008Import into BibTeX
Subject:
Signal Processing, Sound Quality Design
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