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dc.contributor.authorLennox, Peter
dc.contributor.authorMyatt, Tony
dc.date.accessioned2017-10-31T14:28:18Z
dc.date.available2017-10-31T14:28:18Z
dc.date.issued01/03/2007
dc.identifier.citationLennox, P. and Myatt, T. (2007) 'A perceptual approach to the composition of meaning in artificial spatial audio', in Proceedings of the 30th AES International Conference on Intelligent Audio Environments, p. 25.en
dc.identifier.urihttp://hdl.handle.net/10545/621935
dc.description.abstractThis paper describes research to inform the production of spatial audio that consolidates knowledge from several disparate fields. A perceptual model is proposed, based on contemporary perception theories, as the basis for new approaches to audio spatial understanding and a new approach to the generation of artificial sound fields. A fine-grain, modular model of perception is suggested that will allow audio attributes to have perceptual significance with respect to their causal trajectories. This represents an evolution towards the construction of believable sound fields from the traditional geometric, direction based approach to sound spatialisation.
dc.description.sponsorshipn/aen
dc.language.isoenen
dc.publisherAudio Engineering Societyen
dc.relation.urlhttp://www.aes.org/e-lib/browse.cfm?elib=13924en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectArtificial environmentsen
dc.subjectSpatial audioen
dc.subjectEcologyen
dc.titleA perceptual approach to the composition of meaning in artificial spatial audioen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Derbyen
dc.contributor.departmentUniversity of Yorken
dc.identifier.journalProceedings of the 30th AES International Conference on Intelligent Audio Environmentsen
html.description.abstractThis paper describes research to inform the production of spatial audio that consolidates knowledge from several disparate fields. A perceptual model is proposed, based on contemporary perception theories, as the basis for new approaches to audio spatial understanding and a new approach to the generation of artificial sound fields. A fine-grain, modular model of perception is suggested that will allow audio attributes to have perceptual significance with respect to their causal trajectories. This represents an evolution towards the construction of believable sound fields from the traditional geometric, direction based approach to sound spatialisation.


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