Real-time genre classification for music digital libraries

J. Stephen Downie, Andreas F. Ehmann, David Tcheng

Research output: Contribution to journalConference articlepeer-review

Abstract

This poster describes a real-time audio-based automatic music genre classifier for use in organizing, browsing, and searching musical digital libraries. A decision tree classifier trained on a 40-dimension feature space is used to categorize music into one of 14 different genres with the results being displayed to a continuously updating user interface.

Original languageEnglish (US)
Number of pages1
JournalProceedings of the ACM/IEEE Joint Conference on Digital Libraries
DOIs
StatePublished - Jan 1 2005
Event5th ACM/IEEE Joint Conference on Digital Libraries - Digital Libraries: Cyberinfrastructure for Research and Education - Denver, CO, United States
Duration: Jun 7 2005Jun 11 2005

Keywords

  • Design

ASJC Scopus subject areas

  • Engineering(all)

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