By the same authors

Towards automatic music recommendation for audio branding scenarios

Research output: Contribution to conferencePaperpeer-review

Author(s)

Department/unit(s)

Conference

Conference 17th International Society for Music Information Retrieval Conference,
Abbreviated titleISMIR
Country/TerritoryUnited States
CityNew York
Conference date(s)7/08/1611/08/16

Publication details

DatePublished - 2016
Number of pages3
Original languageEnglish

Abstract

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.

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