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dc.contributor.authorHerremans, Dorien
dc.date.accessioned2016-07-21T12:29:42Z
dc.date.available2016-07-21T12:29:42Z
dc.date.issued2016-07-21
dc.date.submitted2016-07-18T14:45:45.045Z
dc.identifier.issn2043-0167
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/13599
dc.description.abstractGenerating music with long-term structure is one of the main challenges in the field of automatic composition. This article describes MorpheuS, a music generation system. MorpheuS uses state-of-the-art pattern detection techniques to find repeated patterns in a template piece. These patterns are then used to constrain the generation process for a new polyphonic composition. The music generation process is guided by an efficient optimization algorithm, variable neighborhood search, which uses a mathematical model of tonal tension to derive its objective function. The ability to generate music according to a tension profile could be useful in a game or film music context. Pieces generated by MorpheuS have been performed in live concerts.en_US
dc.description.sponsorshipThis project is funded in part by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 658914.en_US
dc.relation.ispartofseries;EECSRR-16-02
dc.subjectoptimizationen_US
dc.subjectvariable neighborhood searchen_US
dc.subjectmetaheuristicen_US
dc.subjectautomatic music generationen_US
dc.subjectautomatic compositionen_US
dc.subjecttensionen_US
dc.titleMorpheuS: Automatic music generation with recurrent pattern constraints and tension profilesen_US
dc.typeWorking Paperen_US


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