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dc.contributor.authorMiranda, Eduardo
dc.contributor.authorWilliams, D
dc.date.accessioned2016-10-13T16:15:07Z
dc.date.available2016-10-13T16:15:07Z
dc.date.issued2015-04
dc.identifier.issn1355-7718
dc.identifier.issn1469-8153
dc.identifier.urihttp://hdl.handle.net/10026.1/6521
dc.description.abstract

<jats:p>Artificial Intelligence is a rich and still-developing field with a number of musical applications. This paper surveys the use of Artificial Intelligence in music in the pages of<jats:italic>Organised Sound</jats:italic>, from the first issue to the latest, at the time of writing. Traditionally, Artificial Intelligence systems for music have been designed with note-based composition in mind, but the research we present here finds that Artificial Intelligence has also had a significant impact in electroacoustic music, with contributions in the fields of sound analysis, real-time sonic interaction and interactive performance-driven composition, to cite but three. Two distinct categories emerged in the<jats:italic>Organised Sound</jats:italic>papers: on the one hand, philosophically and/or psychologically inspired, symbolic approaches and, on the other hand, biologically inspired approaches, also referred to as Artificial Life approaches. The two approaches are not mutually exclusive in their use, and in some cases are combined to achieve ‘best of both’ solutions. That said, as<jats:italic>Organised Sound</jats:italic>is uniquely positioned in the electroacoustic music community, it is somewhat surprising that work addressing important compositional issues such as musical form and structure, which Artificial Intelligence can be readily applied to, is not more present in these pages.</jats:p>

dc.format.extent76-81
dc.languageen
dc.language.isoen
dc.publisherCambridge University Press (CUP)
dc.titleArtificial Intelligence in<i>Organised Sound</i>
dc.typejournal-article
dc.typeJournal Article
plymouth.issue1
plymouth.volume20
plymouth.publication-statusPublished
plymouth.journalOrganised Sound
dc.identifier.doi10.1017/s1355771814000454
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business/School of Society and Culture
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA33 Music, Drama, Dance, Performing Arts, Film and Screen Studies
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.identifier.eissn1469-8153
dc.rights.embargoperiodNot known
rioxxterms.funderEngineering and Physical Sciences Research Council
rioxxterms.identifier.projectBrain-Computer Interface for Monitoring and Inducing Affective States
rioxxterms.versionofrecord10.1017/s1355771814000454
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
plymouth.funderBrain-Computer Interface for Monitoring and Inducing Affective States::Engineering and Physical Sciences Research Council


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