@inproceedings{d31cf9c39a9a4d428689788de829da1e,
title = "A framework for intelligent metadata adaptation in object-based audio",
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.",
author = "James Woodcock and Jon Francombe and Andreas Franck and Philip Coleman and Richard Hughes and Hansung Kim and Qingju Liu and Dylan Menzies and {Sim{\'o}n G{\'a}lvez}, {Marcos F.} and Yan Tang and Tim Brookes and Davies, {William J.} and Fazenda, {Bruno M.} and Russell Mason and Cox, {Trevor J.} and Fazi, {Filippo Maria} and Jackson, {Philip J.B.} and Chris Pike and Adrian Hilton",
year = "2018",
month = jan,
day = "1",
language = "English (US)",
series = "Proceedings of the AES International Conference",
publisher = "Audio Engineering Society",
pages = "349--359",
booktitle = "AES International Conference on Spatial Reproduction 2018",
address = "United States",
note = "AES International Conference on Spatial Reproduction 2018: Aesthetics and Science ; Conference date: 07-08-2018 Through 09-08-2018",
}