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CH. JU. Chun, and HO. KO. Kim, "Improvement of DUET for Blind Source Separation in Closely Spaced Stereo Microphone Recording," Paper 9543, (2016 May.). doi: CH. JU. Chun, and HO. KO. Kim, "Improvement of DUET for Blind Source Separation in Closely Spaced Stereo Microphone Recording," Paper 9543, (2016 May.). doi:
Abstract: This paper proposes a blind source separation (BSS) method to improve the performance of the degenerate unmixing estimation technique (DUET) when sound sources are recorded using closely spaced stereo microphones. In particular, the attenuation-delay-based discrimination analysis employed in DUET is replaced with a microphone spacing- and source direction-based discrimination analysis in order to remedy the problem of DUET when the attenuation factors between recorded stereo audio signals are not distinguishable. In other words, the proposed BSS method generates a histogram as a function of the microphone spacing and the directional difference between stereo signals. Next, the generated histogram is used to partition the time-frequency representations of the mixtures into that of each sound source. The performance of the proposed method is evaluated by means of both objective and subjective measures. Consequently, it is shown from the evaluation that the proposed BSS method outperforms the conventional DUET in a closely spaced stereo microphone recording environment.

@article{chun2016improvement,
author={chun, chan jun and kim, hong kook},
journal={journal of the audio engineering society},
title={improvement of duet for blind source separation in closely spaced stereo microphone recording},
year={2016},
volume={},
number={},
pages={},
doi={},
month={may},} @article{chun2016improvement,
author={chun, chan jun and kim, hong kook},
journal={journal of the audio engineering society},
title={improvement of duet for blind source separation in closely spaced stereo microphone recording},
year={2016},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={this paper proposes a blind source separation (bss) method to improve the performance of the degenerate unmixing estimation technique (duet) when sound sources are recorded using closely spaced stereo microphones. in particular, the attenuation-delay-based discrimination analysis employed in duet is replaced with a microphone spacing- and source direction-based discrimination analysis in order to remedy the problem of duet when the attenuation factors between recorded stereo audio signals are not distinguishable. in other words, the proposed bss method generates a histogram as a function of the microphone spacing and the directional difference between stereo signals. next, the generated histogram is used to partition the time-frequency representations of the mixtures into that of each sound source. the performance of the proposed method is evaluated by means of both objective and subjective measures. consequently, it is shown from the evaluation that the proposed bss method outperforms the conventional duet in a closely spaced stereo microphone recording environment.},}

TY - paper
TI - Improvement of DUET for Blind Source Separation in Closely Spaced Stereo Microphone Recording
SP - EP -
AU - Chun, Chan Jun
AU - Kim, Hong Kook
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2016 TY - paper
TI - Improvement of DUET for Blind Source Separation in Closely Spaced Stereo Microphone Recording
SP - EP -
AU - Chun, Chan Jun
AU - Kim, Hong Kook
PY - 2016
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2016
AB - This paper proposes a blind source separation (BSS) method to improve the performance of the degenerate unmixing estimation technique (DUET) when sound sources are recorded using closely spaced stereo microphones. In particular, the attenuation-delay-based discrimination analysis employed in DUET is replaced with a microphone spacing- and source direction-based discrimination analysis in order to remedy the problem of DUET when the attenuation factors between recorded stereo audio signals are not distinguishable. In other words, the proposed BSS method generates a histogram as a function of the microphone spacing and the directional difference between stereo signals. Next, the generated histogram is used to partition the time-frequency representations of the mixtures into that of each sound source. The performance of the proposed method is evaluated by means of both objective and subjective measures. Consequently, it is shown from the evaluation that the proposed BSS method outperforms the conventional DUET in a closely spaced stereo microphone recording environment.