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dc.contributor.authorOLOWE, Ien_US
dc.contributor.authorBARTHET, Men_US
dc.contributor.authorGRIERSON, Men_US
dc.contributor.authorBRYAN-KINNS, Nen_US
dc.contributor.authorInternational Conference on Technologies for Music Notation and Representation (TENOR)en_US
dc.date.accessioned2016-09-21T11:20:02Z
dc.date.available2016-02-04en_US
dc.date.submitted2016-04-29T11:10:17.999Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/15516
dc.description.abstractFEATUR.UX (Feature - ous) is an audio visualisation tool, currently in the process of development, which proposes to introduce a new approach to sound visualisation using pre-mixed, independent multitracks and audio feature ex- traction. Sound visualisation is usually performed using a mixed mono or stereo track of audio. Audio feature ex- traction is commonly used in the field of music information retrieval to create search and recommendation systems for large music databases rather than generating live visual- isations. Visualizing multitrack audio circumvents prob- lems related to the source separation of mixed audio sig- nals and presents an opportunity to examine interdepen- dent relationships within and between separate streams of music. This novel approach to sound visualisation aims to provide an enhanced listening experience in a use case that employs non-tonal, non-notated forms of electronic music. Findings from prior research studies focused on live per- formance and preliminary quantitative results from a user survey have provided the basis from which to develop a prototype for an iterative design study that examines the impact of using multitrack audio and audio feature extrac- tion within sound visualisation practice.en_US
dc.language.isoenen_US
dc.rightsCC-BY
dc.subjectaudio featuresen_US
dc.subjectsound visualizationen_US
dc.subjectguien_US
dc.subjectmultitrack audioen_US
dc.titleFEATUR.UX: An approach to leveraging multitrack information for artistic music visualizationen_US
dc.typeConference Proceeding
dc.rights.holder(c) 2016 Ireti Olowe et al
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
dcterms.dateAccepted2016-02-04en_US
qmul.funderFusing Semantic and Audio Technologies for Intelligent Music Production and Consumption::Engineering and Physical Sciences Research Councilen_US


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