Artificial Stereo Extension Based on Hidden Markov Model for the Incorporation of Non-Stationary Energy Trajectory

Park NI, Jeon KM, Choi P,SH, Kim HK. Artificial Stereo Extension Based on Hidden Markov Model for the Incorporation of Non-Stationary Energy Trajectory. In: AES Convention 135. Audio Engineering Society; 2013. Paper 8980. Available from: https://aes.org/publications/elibrary-page/?id=17028

@inproceedings{Park2013_17028,
  author = {Park, Nam In and Jeon, Kwang Myung and Choi, Prof., Seung Ho and Kim, Hong Kook},
  title = {{Artificial Stereo Extension Based on Hidden Markov Model for the Incorporation of Non-Stationary Energy Trajectory}},
  booktitle = {AES Convention 135},
  note = {Paper 8980},
  year = {2013},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17028}
}

TY  - CPAPER
TI  - Artificial Stereo Extension Based on Hidden Markov Model for the Incorporation of Non-Stationary Energy Trajectory
AU  - Park, Nam In
AU  - Jeon, Kwang Myung
AU  - Choi, Prof., Seung Ho
AU  - Kim, Hong Kook
T2  - AES Convention 135
M1  - Paper 8980
PY  - 2013
DA  - 2013/10/06
UR  - https://aes.org/publications/elibrary-page/?id=17028
PB  - Audio Engineering Society
LA  - en
AB  - In this paper an artificial stereo extension method is proposed to provide stereophonic sound from mono sound. While frame-independent artificial stereo extension methods, such as Gaussian mixture model (GMM)-based extension, do not consider the correlation of energies of previous frames, the proposed stereo extension method employs a minimum mean-squared error estimator based on a hidden Markov model (HMM) for the incorporation of non-stationary energy trajectory. The performance of the proposed stereo extension method is evaluated by a multiple stimuli with a hidden reference and anchor (MUSHRA) test. It is shown from the statistical analysis of the MUSHRA test results that the stereo signals extended by the proposed stereo extension method have significantly better quality than those of a GMM-based stereo extension method.
ER  -