Efficient Primary-Ambient Decomposition Algorithm for Audio Upmix

Baek YH, Jeon SW, Park YC, Lee S. Efficient Primary-Ambient Decomposition Algorithm for Audio Upmix. In: AES Convention 133. Audio Engineering Society; 2012. Paper 8754. Available from: https://aes.org/publications/elibrary-page/?id=16496

@inproceedings{Baek2012_16496,
  author = {Baek, Yong-Hyun and Jeon, Se-Woon and Park, Young-cheol and Lee, Seokpil},
  title = {{Efficient Primary-Ambient Decomposition Algorithm for Audio Upmix}},
  booktitle = {AES Convention 133},
  note = {Paper 8754},
  year = {2012},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16496}
}

TY  - CPAPER
TI  - Efficient Primary-Ambient Decomposition Algorithm for Audio Upmix
AU  - Baek, Yong-Hyun
AU  - Jeon, Se-Woon
AU  - Park, Young-cheol
AU  - Lee, Seokpil
T2  - AES Convention 133
M1  - Paper 8754
PY  - 2012
DA  - 2012/10/06
UR  - https://aes.org/publications/elibrary-page/?id=16496
PB  - Audio Engineering Society
LA  - en
AB  - Decomposition of a stereo signal into the primary and ambient components is a key step to the stereo upmix and it is often based on the principal component analysis (PCA). However, major shortcoming of the PCA-based method is that accuracy of the decomposed components is dependent on both the primary-to-ambient power ratio (PAR) and the panning angle. Previously, a modified PCA was suggested to solve the PAR-dependent problem. However, its performance is still dependent on the panning angle of the primary signal. In this paper we proposed a new PCA-based primary-ambient decomposition algorithm whose performance is not affected by the PAR as well as the panning angle. The proposed algorithm finds scale factors based on a criterion that is set to preserve the powers of the mixed components, so that the original primary and ambient powers are correctly retrieved. Simulation results are presented to show the effectiveness of the proposed algorithm.
ER  -