The 2007 mirex audio mood classification task: Lessons learned

Xiao Hu, J Stephen Downie, Cyril Laurier, Mert Bay, Andreas F. Ehmann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent music information retrieval (MIR) research pays increasing attention to music classification based on moods expressed by music pieces. The first Audio Mood Classification (AMC) evaluation task was held in the 2007 running of the Music Information Retrieval Evaluation eXchange (MIREX). This paper describes important issues in setting up the task, including dataset construction and ground-truth labeling, and analyzes human assessments on the audio dataset, as well as system performances from various angles. Interesting findings include system performance differences with regard to mood clusters and the levels of agreement amongst human judgments regarding mood labeling. Based on these analyses, we summarize experiences learned from the first community scale evaluation of the AMC task and propose recommendations for future AMC and similar evaluation tasks.

Original languageEnglish (US)
Title of host publicationISMIR 2008 - 9th International Conference on Music Information Retrieval
Pages462-467
Number of pages6
StatePublished - Dec 1 2008
Event9th International Conference on Music Information Retrieval, ISMIR 2008 - Philadelphia, PA, United States
Duration: Sep 14 2008Sep 18 2008

Publication series

NameISMIR 2008 - 9th International Conference on Music Information Retrieval

Other

Other9th International Conference on Music Information Retrieval, ISMIR 2008
CountryUnited States
CityPhiladelphia, PA
Period9/14/089/18/08

ASJC Scopus subject areas

  • Music
  • Information Systems

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