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NA. IN. Park, KW. MY. Jeon, CH. JU. Chun, and HO. KO. Kim, "Artificial Stereo Extension Based on Gaussian Mixture Model," Paper 8877, (2013 May.). doi: NA. IN. Park, KW. MY. Jeon, CH. JU. Chun, and HO. KO. Kim, "Artificial Stereo Extension Based on Gaussian Mixture Model," Paper 8877, (2013 May.). doi:
Abstract: In this paper an artificial stereo extension method is proposed to provide the stereophonic sound. The proposed method employs a minimum mean squared error (MMSE) estimator based on a Gaussian mixture model (GMM) to produce stereo signals from a mono signal. The performance of the proposed stereo extension method is evaluated using a multiple stimuli with a hidden reference and anchor (MUSHRA) test and compared with that of the parametric stereo method. It is shown from the test that the mean opinion score of the signals extended by the proposed stereo extension method is around 5% higher than that of the conventional stereo extension method based on inter-channel coherence (ICC).

@article{park2013artificial,
author={park, nam in and jeon, kwang myung and chun, chan jun and kim, hong kook},
journal={journal of the audio engineering society},
title={artificial stereo extension based on gaussian mixture model},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},} @article{park2013artificial,
author={park, nam in and jeon, kwang myung and chun, chan jun and kim, hong kook},
journal={journal of the audio engineering society},
title={artificial stereo extension based on gaussian mixture model},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={in this paper an artificial stereo extension method is proposed to provide the stereophonic sound. the proposed method employs a minimum mean squared error (mmse) estimator based on a gaussian mixture model (gmm) to produce stereo signals from a mono signal. the performance of the proposed stereo extension method is evaluated using a multiple stimuli with a hidden reference and anchor (mushra) test and compared with that of the parametric stereo method. it is shown from the test that the mean opinion score of the signals extended by the proposed stereo extension method is around 5% higher than that of the conventional stereo extension method based on inter-channel coherence (icc).},}

TY - paper
TI - Artificial Stereo Extension Based on Gaussian Mixture Model
SP - EP -
AU - Park, Nam In
AU - Jeon, Kwang Myung
AU - Chun, Chan Jun
AU - Kim, Hong Kook
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013 TY - paper
TI - Artificial Stereo Extension Based on Gaussian Mixture Model
SP - EP -
AU - Park, Nam In
AU - Jeon, Kwang Myung
AU - Chun, Chan Jun
AU - Kim, Hong Kook
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013
AB - In this paper an artificial stereo extension method is proposed to provide the stereophonic sound. The proposed method employs a minimum mean squared error (MMSE) estimator based on a Gaussian mixture model (GMM) to produce stereo signals from a mono signal. The performance of the proposed stereo extension method is evaluated using a multiple stimuli with a hidden reference and anchor (MUSHRA) test and compared with that of the parametric stereo method. It is shown from the test that the mean opinion score of the signals extended by the proposed stereo extension method is around 5% higher than that of the conventional stereo extension method based on inter-channel coherence (ICC).