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A Framework for Intelligent Metadata Adaptation in Object-Based Audio

Woodcock, James, Franombe, Jon, Franck, Andreas, Coleman, Philip, Hughes, Richard, Kim, Hansung, Liu, Qingju, Menzies, Dylan, Simón Gálvez, Marcos F, Tang, Yan , Brookes, Tim, Davies, William J, Fazenda, Bruno M, Mason, Russell, Cox, Trevor J, Fazi, Filippo Maria, Jackson, Philip, Pike, Chris and Hilton, Adrian (2018) A Framework for Intelligent Metadata Adaptation in Object-Based Audio In: 2018 AES International Conference on Spatial Reproduction - Aesthetics and Science, 7 - 9 August 2018, Tokyo, Japan.

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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.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Faculty of Arts and Social Sciences > Department of Music and Media
Authors :
Woodcock, James
Franombe, Jon
Franck, Andreas
Hughes, Richard
Menzies, Dylan
Simón Gálvez, Marcos F
Tang, Yan
Davies, William J
Fazenda, Bruno M
Cox, Trevor J
Fazi, Filippo Maria
Pike, Chris
Date : 30 July 2018
Related URLs :
Depositing User : Users 8 not found.
Date Deposited : 24 Aug 2018 13:47
Last Modified : 03 Jun 2020 10:37

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