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dc.contributor.authorLefford, MN
dc.contributor.authorBromham, G
dc.contributor.authorFazekas, G
dc.contributor.authorMoffat, David
dc.date.accessioned2020-09-17T11:22:13Z
dc.date.issued2021-03-10
dc.identifier.issn0004-7554
dc.identifier.urihttp://hdl.handle.net/10026.1/16381
dc.description.abstract

Intelligent Mixing Systems (IMS) are rapidly becoming integrated into music mixing and production workflows. The intelligences of a human mixer and IMS can be distinguished by their abilities to comprehend, assess, and appreciate context. Humans will factor context into decisions, particularly concerning the use and application of technologies. The utility of an IMS depends on both its affordances and the situation in which it is to be used. The appropriate use for conventional purposes, or its utility for misappropriation, is determined by the context. This study considers how context impacts mixing decisions and the use of technology, focusing on how the mixer's understanding of context can inform the use of IMS, and how the use of IMS can aid in informing a mixer of different contexts.

dc.format.extent128-141
dc.language.isoen
dc.publisherAudio Engineering Society
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleContext Aware Intelligent Mixing Systems
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000632042200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue3
plymouth.volume69
plymouth.publisher-urlhttps://www.aes.org/e-lib/browse.cfm?elib=21022
plymouth.publication-statusPublished online
plymouth.journalJournal of the Audio Engineering Society
dc.identifier.doi10.17743/jaes.2020.0043
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
dcterms.dateAccepted2020-09-01
dc.rights.embargodate2021-3-25
dc.rights.embargoperiodNot known
rioxxterms.versionAccepted Manuscript
rioxxterms.versionofrecord10.17743/jaes.2020.0043
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
rioxxterms.licenseref.startdate2021-03-10
rioxxterms.typeJournal Article/Review


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