Single Channel Source Separation Using Short-Time Independent Component Analysis

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D. Barry, E. Coyle, D. Fitzgerald, and R. Lawlor, "Single Channel Source Separation Using Short-Time Independent Component Analysis," Paper 6603, (2005 October.). doi:
D. Barry, E. Coyle, D. Fitzgerald, and R. Lawlor, "Single Channel Source Separation Using Short-Time Independent Component Analysis," Paper 6603, (2005 October.). doi:
Abstract: In this paper we develop a method for the sound source separation of single channel mixtures using Independent Component Analysis within a time-frequency representation of the audio signal. We apply standard Independent Component Analysis techniques to contiguous magnitude frames of the short-time Fourier transform of the mixture. Provided that the amplitude envelopes of each source are sufficiently different, it can be seen that it is possible to recover the independent short-time power spectra of each source. A simple scoring scheme based on auditory scene analysis cues is then used to overcome the source ordering problem ultimately allowing each of the independent spectra to be assigned to the correct output source. A final stage of adaptive filtering is then applied which forces each of the spectra to become more independent. Each of the sources is then resynthesised using the standard inverse short-time Fourier transform and overlap add scheme.

@article{barry2005single,
author={barry, dan and coyle, eugene and fitzgerald, derry and lawlor, robert},
journal={journal of the audio engineering society},
title={single channel source separation using short-time independent component analysis},
year={2005},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{barry2005single,
author={barry, dan and coyle, eugene and fitzgerald, derry and lawlor, robert},
journal={journal of the audio engineering society},
title={single channel source separation using short-time independent component analysis},
year={2005},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={in this paper we develop a method for the sound source separation of single channel mixtures using independent component analysis within a time-frequency representation of the audio signal. we apply standard independent component analysis techniques to contiguous magnitude frames of the short-time fourier transform of the mixture. provided that the amplitude envelopes of each source are sufficiently different, it can be seen that it is possible to recover the independent short-time power spectra of each source. a simple scoring scheme based on auditory scene analysis cues is then used to overcome the source ordering problem ultimately allowing each of the independent spectra to be assigned to the correct output source. a final stage of adaptive filtering is then applied which forces each of the spectra to become more independent. each of the sources is then resynthesised using the standard inverse short-time fourier transform and overlap add scheme.},}

TY - paper
TI - Single Channel Source Separation Using Short-Time Independent Component Analysis
SP -
EP -
AU - Barry, Dan
AU - Coyle, Eugene
AU - Fitzgerald, Derry
AU - Lawlor, Robert
PY - 2005
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2005
TY - paper
TI - Single Channel Source Separation Using Short-Time Independent Component Analysis
SP -
EP -
AU - Barry, Dan
AU - Coyle, Eugene
AU - Fitzgerald, Derry
AU - Lawlor, Robert
PY - 2005
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2005
AB - In this paper we develop a method for the sound source separation of single channel mixtures using Independent Component Analysis within a time-frequency representation of the audio signal. We apply standard Independent Component Analysis techniques to contiguous magnitude frames of the short-time Fourier transform of the mixture. Provided that the amplitude envelopes of each source are sufficiently different, it can be seen that it is possible to recover the independent short-time power spectra of each source. A simple scoring scheme based on auditory scene analysis cues is then used to overcome the source ordering problem ultimately allowing each of the independent spectra to be assigned to the correct output source. A final stage of adaptive filtering is then applied which forces each of the spectra to become more independent. Each of the sources is then resynthesised using the standard inverse short-time Fourier transform and overlap add scheme.

In this paper we develop a method for the sound source separation of single channel mixtures using Independent Component Analysis within a time-frequency representation of the audio signal. We apply standard Independent Component Analysis techniques to contiguous magnitude frames of the short-time Fourier transform of the mixture. Provided that the amplitude envelopes of each source are sufficiently different, it can be seen that it is possible to recover the independent short-time power spectra of each source. A simple scoring scheme based on auditory scene analysis cues is then used to overcome the source ordering problem ultimately allowing each of the independent spectra to be assigned to the correct output source. A final stage of adaptive filtering is then applied which forces each of the spectra to become more independent. Each of the sources is then resynthesised using the standard inverse short-time Fourier transform and overlap add scheme.

Authors:
Barry, Dan; Coyle, Eugene; Fitzgerald, Derry; Lawlor, Robert
Affiliations:
Cork Institute of Technology; Dublin Institute of Technology; National University of Ireland(See document for exact affiliation information.)
AES Convention:
119 (October 2005)
Paper Number:
6603
Publication Date:
October 1, 2005Import into BibTeX
Subject:
Signal Processing
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=13364