Towards automatic music recommendation for audio branding scenarios

Martin Herzog, Steffen Lepa, Hauke Wolfgang Egermann

Research output: Contribution to conferencePaperpeer-review


Within 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.
Original languageEnglish
Number of pages3
Publication statusPublished - 2016
Event 17th International Society for Music Information Retrieval Conference, - New York, United States
Duration: 7 Aug 201611 Aug 2016


Conference 17th International Society for Music Information Retrieval Conference,
Abbreviated titleISMIR
Country/TerritoryUnited States
CityNew York

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