Towards automatic music recommendation for audio branding scenarios

dc.contributor.authorHerzog, Martin
dc.contributor.authorLepa, Steffen
dc.contributor.authorEgermann, Hauke
dc.date.accessioned2017-07-13T14:02:29Z
dc.date.available2017-07-13T14:02:29Z
dc.date.issued2016
dc.description.abstractWithin the MIR community, most prediction models of musical impact on listeners focus on mood or emotional effects (perceived or induced). The ABC_DJ project investigates the associative impact of music on listeners from the specific perspective of music branding that surrounds us in our everyday lives. We pre-sent a general concept for applying automatic music rec-ommendation within this domain. Creating a scientifically validated basic terminology for communicating brand at-tributes and human emotions in this field is the key chal-lenge. As a first result, we introduce the Music Branding Expert Terminology (MBET), a comprehensive terminology of verbal attributes used in music branding, upon which a pre-diction model will be developed to facilitate automatic mu-sic recommendation in the context of music branding.en
dc.description.sponsorshipEC/H2020/688122/EU/Artist-to-Business-to-Business-to-Consumer Audio Branding System/ABC DJen
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/6475
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-5983
dc.language.isoenen
dc.relation.ispartof10.14279/depositonce-16415en
dc.relation.referenceshttp://dx.doi.org/10.14279/depositonce-5957en
dc.relation.referenceshttp://dx.doi.org/10.14279/depositonce-5958en
dc.relation.referenceshttps://doi.org/10.14279/depositonce-5982
dc.relation.referenceshttps://doi.org/10.14279/depositonce-5984
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc003 Systemede
dc.subject.otheraudio brandingen
dc.subject.othermusic brandingen
dc.subject.otherMBETen
dc.subject.otherMIRen
dc.subject.othermusic featuresen
dc.titleTowards automatic music recommendation for audio branding scenariosen
dc.typeConference Objecten
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.proceedingstitleISMIR 2016, August 7-11, New York City, USA / LBD contributionsen
tub.accessrights.dnbfreeen
tub.affiliationFak. 1 Geistes- und Bildungswissenschaften::Inst. Sprache und Kommunikation::FG Audiokommunikationde
tub.affiliation.facultyFak. 1 Geistes- und Bildungswissenschaftende
tub.affiliation.groupFG Audiokommunikationde
tub.affiliation.instituteInst. Sprache und Kommunikationde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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