A framework for intelligent metadata adaptation in object-based audio

James Woodcock, Jon Francombe, Andreas Franck, Philip Coleman, Richard Hughes, Hansung Kim, Qingju Liu, Dylan Menzies, Marcos F. Simón Gálvez, Yan Tang, Tim Brookes, William J. Davies, Bruno M. Fazenda, Russell Mason, Trevor J. Cox, Filippo Maria Fazi, Philip J.B. Jackson, Chris Pike, Adrian Hilton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Object-based audio can be used to customize, personalize, and optimize audio reproduction depending on the specific listening scenario. To investigate and exploit the benefits 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 five-channel systems.

Original languageEnglish (US)
Title of host publicationAES International Conference on Spatial Reproduction 2018
Subtitle of host publicationAesthetics and Science
PublisherAudio Engineering Society
Pages349-359
Number of pages11
ISBN (Electronic)9781510870406
StatePublished - Jan 1 2018
Externally publishedYes
EventAES International Conference on Spatial Reproduction 2018: Aesthetics and Science - Tokyo, Japan
Duration: Aug 7 2018Aug 9 2018

Publication series

NameProceedings of the AES International Conference

Conference

ConferenceAES International Conference on Spatial Reproduction 2018: Aesthetics and Science
CountryJapan
CityTokyo
Period8/7/188/9/18

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

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  • Cite this

    Woodcock, J., Francombe, J., Franck, A., Coleman, P., Hughes, R., Kim, H., Liu, Q., Menzies, D., Simón Gálvez, M. F., Tang, Y., Brookes, T., Davies, W. J., Fazenda, B. M., Mason, R., Cox, T. J., Fazi, F. M., Jackson, P. J. B., Pike, C., & Hilton, A. (2018). A framework for intelligent metadata adaptation in object-based audio. In AES International Conference on Spatial Reproduction 2018: Aesthetics and Science (pp. 349-359). (Proceedings of the AES International Conference). Audio Engineering Society.