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dc.contributor.authorHERREMANS, Den_US
dc.contributor.authorChuan, CHen_US
dc.contributor.author11th International Conference on Semantic Computing IEEE ICSCen_US
dc.date.accessioned2017-03-24T14:34:57Z
dc.date.available2016-12-01en_US
dc.date.issued2017-01-29en_US
dc.date.submitted2017-02-28T07:05:33.429Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/22215
dc.titleA multi-modal platform for semantic music analysis: visualizing audio- and score-based tensionen_US
dc.typeConference Proceeding
dc.rights.holder© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
pubs.notesNo embargoen_US
pubs.publication-statusPublisheden_US
dcterms.dateAccepted2016-12-01en_US
qmul.funderMorpheuS: Hybrid Machine Learning-Optimization Techniques to Generate Structured Music through Morphing and Fusion::European Research Councilen_US


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