Show simple item record

dc.contributor.authorGoddard, Cen_US
dc.contributor.authorBARTHET, Men_US
dc.contributor.authorWiggins, Gen_US
dc.contributor.authorAudio Mostly 2017en_US
dc.date.accessioned2017-10-13T10:06:55Z
dc.date.available2017-05-29en_US
dc.date.issued2017-08-23en_US
dc.date.submitted2017-10-04T18:23:13.869Z
dc.identifier.isbn978-1-4503-5373-1en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/27804
dc.description.abstractThis is work in progress where we outline a design process for a computationally creative musical performance system using the Creative Systems Framework (CSF). The proposed system is intended to produce virtuosic interpretations, and subsequent synthesized renderings of these interpretations with a physical model of a bass guitar, using case-based reasoning and reflection. We introduce our interpretations of virtuosity and musical performance, outline the suitability of case-based reasoning in computationally creative systems and introduce notions of computational creativity and the CSF. We design our system by formalising the components of the CSF and briefly outline a potential implementation. In doing so, we demonstrate how the CSF can be used as a tool to aid in designing computationally creative musical performance systems.en_US
dc.publisherACMen_US
dc.subjectcomputational creativityen_US
dc.subjectexpressive music performanceen_US
dc.subjectvirtuosityen_US
dc.subjectcase-based reasoningen_US
dc.titleDesigning Computationally Creative Musical Performance Systemsen_US
dc.typeConference Proceeding
dc.rights.holder© 2017 Copyright held by the owner/author(s).
dc.identifier.doi10.1145/3123514.3123541en_US
pubs.author-urlhttp://callumgoddard.com/en_US
pubs.notesNo embargoen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Computer Science - Research Students
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff
pubs.organisational-group/Queen Mary University of London/Faculty Reporting - Research Students
pubs.organisational-group/Queen Mary University of London/Faculty Reporting - Research Students/Faculty of Science & Engineering PGRs
pubs.publication-statusPublisheden_US
pubs.publisher-urlhttp://www.acm.org/en_US
pubs.volumeProceedings of AM ’17en_US
dcterms.dateAccepted2017-05-29en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record