Real-time genre classification for music digital libraries

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

doi:10.1145/1065385.1065480

Real-time genre classification for music digital libraries

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

Research output: Contribution to journal › Conference article › peer-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 language	English (US)
Pages (from-to)	377
Number of pages	1
Journal	Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
DOIs	https://doi.org/10.1145/1065385.1065480
State	Published - 2005
Event	5th ACM/IEEE Joint Conference on Digital Libraries - Digital Libraries: Cyberinfrastructure for Research and Education - Denver, CO, United States Duration: Jun 7 2005 → Jun 11 2005

Keywords

Design

ASJC Scopus subject areas

General Engineering

Online availability

10.1145/1065385.1065480

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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.",

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Real-time genre classification for music digital libraries

Abstract

Keywords

ASJC Scopus subject areas

Online availability

Library availability

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