Sound Source Separation Using Interaural Intensity Difference in Real Environments
×
Cite This
Citation & Abstract
CH. JU. Chun, and HO. KO. Kim, "Sound Source Separation Using Interaural Intensity Difference in Real Environments," Paper 8976, (2013 October.). doi:
CH. JU. Chun, and HO. KO. Kim, "Sound Source Separation Using Interaural Intensity Difference in Real Environments," Paper 8976, (2013 October.). doi:
Abstract: In this paper, a sound source separation method is proposed by using the interaural intensity difference (IID) of stereo audio signal recorded in real environments. First, in order to improve the channel separability, a minimum variance distortionless response (MVDR) beamformer is employed to increase the intensity difference between stereo channels. Then, IID between stereo channels processed by the beamformer is computed and applied to sound source separation. The performance of the proposed sound source separation method is evaluated on the stereo audio source separation evaluation campaign (SASSEC) measures. It is shown from the evaluation that the proposed method outperforms a sound source separation method without applying a beamformer.
@article{chun2013sound,
author={chun, chan jun and kim, hong kook},
journal={journal of the audio engineering society},
title={sound source separation using interaural intensity difference in real environments},
year={2013},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{chun2013sound,
author={chun, chan jun and kim, hong kook},
journal={journal of the audio engineering society},
title={sound source separation using interaural intensity difference in real environments},
year={2013},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={in this paper, a sound source separation method is proposed by using the interaural intensity difference (iid) of stereo audio signal recorded in real environments. first, in order to improve the channel separability, a minimum variance distortionless response (mvdr) beamformer is employed to increase the intensity difference between stereo channels. then, iid between stereo channels processed by the beamformer is computed and applied to sound source separation. the performance of the proposed sound source separation method is evaluated on the stereo audio source separation evaluation campaign (sassec) measures. it is shown from the evaluation that the proposed method outperforms a sound source separation method without applying a beamformer.},}
TY - paper
TI - Sound Source Separation Using Interaural Intensity Difference in Real Environments
SP -
EP -
AU - Chun, Chan Jun
AU - Kim, Hong Kook
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2013
TY - paper
TI - Sound Source Separation Using Interaural Intensity Difference in Real Environments
SP -
EP -
AU - Chun, Chan Jun
AU - Kim, Hong Kook
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2013
AB - In this paper, a sound source separation method is proposed by using the interaural intensity difference (IID) of stereo audio signal recorded in real environments. First, in order to improve the channel separability, a minimum variance distortionless response (MVDR) beamformer is employed to increase the intensity difference between stereo channels. Then, IID between stereo channels processed by the beamformer is computed and applied to sound source separation. The performance of the proposed sound source separation method is evaluated on the stereo audio source separation evaluation campaign (SASSEC) measures. It is shown from the evaluation that the proposed method outperforms a sound source separation method without applying a beamformer.
In this paper, a sound source separation method is proposed by using the interaural intensity difference (IID) of stereo audio signal recorded in real environments. First, in order to improve the channel separability, a minimum variance distortionless response (MVDR) beamformer is employed to increase the intensity difference between stereo channels. Then, IID between stereo channels processed by the beamformer is computed and applied to sound source separation. The performance of the proposed sound source separation method is evaluated on the stereo audio source separation evaluation campaign (SASSEC) measures. It is shown from the evaluation that the proposed method outperforms a sound source separation method without applying a beamformer.
Authors:
Chun, Chan Jun; Kim, Hong Kook
Affiliations:
Gwangju Institute of Science and Technology (GIST), Gwangju, Korea; Gwangju Institute of Science and Tech (GIST), Gwangju, Korea(See document for exact affiliation information.)
AES Convention:
135 (October 2013)
Paper Number:
8976
Publication Date:
October 16, 2013Import into BibTeX
Subject:
Signal Processing
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=17024