Artificial Stereo Extension Based on Gaussian Mixture Model

Park NI, Jeon KM, Chun CJ, Kim HK. Artificial Stereo Extension Based on Gaussian Mixture Model. In: AES Convention 134. Audio Engineering Society; 2013. Paper 8877. Available from: https://aes.org/publications/elibrary-page/?id=16778

@inproceedings{Park2013_16778,
  author = {Park, Nam In and Jeon, Kwang Myung and Chun, Chan Jun and Kim, Hong Kook},
  title = {{Artificial Stereo Extension Based on Gaussian Mixture Model}},
  booktitle = {AES Convention 134},
  note = {Paper 8877},
  year = {2013},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16778}
}

TY  - CPAPER
TI  - Artificial Stereo Extension Based on Gaussian Mixture Model
AU  - Park, Nam In
AU  - Jeon, Kwang Myung
AU  - Chun, Chan Jun
AU  - Kim, Hong Kook
T2  - AES Convention 134
M1  - Paper 8877
PY  - 2013
DA  - 2013/05/06
UR  - https://aes.org/publications/elibrary-page/?id=16778
PB  - Audio Engineering Society
LA  - en
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).
ER  -