A Framework for Intelligent Metadata Adaptation in Object-Based Audio

Woodcock J, Franombe J, Franck A, Coleman P, Hughes R, Kim H, Liu Q, Menzies D, Simón Gálvez MF, Tang Y, et al. A Framework for Intelligent Metadata Adaptation in Object-Based Audio. In: AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science. Audio Engineering Society; 2018. Paper P11-3. Available from: https://aes.org/publications/elibrary-page/?id=19637

@inproceedings{Woodcock2018_19637,
  author = {Woodcock, James and Franombe, Jon and Franck, Andreas and Coleman, Philip and Hughes, Richard and Kim, Hansung and Liu, Qingju and Menzies, Dylan and Simón Gálvez, Marcos F and Tang, Yan and Brookes, Tim and Davies, William J. and Fazenda, Bruno M. and Mason, Russell and Cox, Trevor J. and Fazi, Filippo Maria and Jackson, Phiip J. B. and Pike, Chris and Hilton, Adrian},
  title = {{A Framework for Intelligent Metadata Adaptation in Object-Based Audio}},
  booktitle = {AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science},
  note = {Paper P11-3},
  year = {2018},
  month = jul,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19637}
}

TY  - CPAPER
TI  - A Framework for Intelligent Metadata Adaptation in Object-Based Audio
AU  - Woodcock, James
AU  - Franombe, Jon
AU  - Franck, Andreas
AU  - Coleman, Philip
AU  - Hughes, Richard
AU  - Kim, Hansung
AU  - Liu, Qingju
AU  - Menzies, Dylan
AU  - Simón Gálvez, Marcos F
AU  - Tang, Yan
AU  - Brookes, Tim
AU  - Davies, William J.
AU  - Fazenda, Bruno M.
AU  - Mason, Russell
AU  - Cox, Trevor J.
AU  - Fazi, Filippo Maria
AU  - Jackson, Phiip J. B.
AU  - Pike, Chris
AU  - Hilton, Adrian
T2  - AES Conference: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science
M1  - Paper P11-3
PY  - 2018
DA  - 2018/07/06
UR  - https://aes.org/publications/elibrary-page/?id=19637
PB  - Audio Engineering Society
LA  - en
AB  - Object-based audio can be used to customize, personalize, and optimize audio reproduction depending on the speci?c listening scenario. To investigate and exploit the bene?ts of object-based audio, a framework for intelligent metadata adaptation was developed. The framework uses detailed semantic metadata that describes the audio objects, the loudspeakers, and the room. It features an extensible software tool for real-time metadata adaptation that can incorporate knowledge derived from perceptual tests and/or feedback from perceptual meters to drive adaptation and facilitate optimal rendering. One use case for the system is demonstrated through a rule-set (derived from perceptual tests with experienced mix engineers) for automatic adaptation of object levels and positions when rendering 3D content to two- and ?ve-channel systems.
ER  -