Informed Hybrid Primary Ambient Extraction for Spatial Audio Reproduction

He J, Gan WS. Informed Hybrid Primary Ambient Extraction for Spatial Audio Reproduction. In: AES Conference: 2016 AES International Conference on Headphone Technology. Audio Engineering Society; 2016. Paper 6-5. Available from: https://aes.org/publications/elibrary-page/?id=18356

@inproceedings{He2016_18356,
  author = {He, JianJun and Gan, Woon-Seng},
  title = {{Informed Hybrid Primary Ambient Extraction for Spatial Audio Reproduction}},
  booktitle = {AES Conference: 2016 AES International Conference on Headphone Technology},
  note = {Paper 6-5},
  year = {2016},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18356}
}

TY  - CPAPER
TI  - Informed Hybrid Primary Ambient Extraction for Spatial Audio Reproduction
AU  - He, JianJun
AU  - Gan, Woon-Seng
T2  - AES Conference: 2016 AES International Conference on Headphone Technology
M1  - Paper 6-5
PY  - 2016
DA  - 2016/08/06
UR  - https://aes.org/publications/elibrary-page/?id=18356
PB  - Audio Engineering Society
LA  - en
AB  - Spatial audio reproduction is essential to create a natural 3D listening experience for digital media. Primary ambient extraction (PAE) is an emerging technique that facilitates an efficient, flexible, and immersive spatial audio reproduction of channel-based audio for any arbitrary playback configurations. This paper presents a hybrid PAE method based on the weighted sum of several existing PAE methods. Using an extraction error performance prior, we derive the optimal weights to combine the candidate PAE methods. Two cases of the error performance are considered: the errors are mutually uncorrelated or partially correlated. Our simulation results indicate that the proposed hybrid PAE method that considers partial error correlation could yield even better performance than the best individual PAE method in any cases.
ER  -