Title :
Real-time genre classification for music digital libraries
Author :
David Tcheng;Andreas F. Ehmann;J. Stephen Downie
Author_Institution :
University of Illinois at Urbana-Champaign
fDate :
6/1/2005 12:00:00 AM
Abstract :
This paper 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
Keywords :
"Software libraries","Testing","Decision trees","Organizing","Classification tree analysis","Humans","Feature extraction","Information science","Computer applications","Application software"
Conference_Titel :
Digital Libraries, 2005. JCDL ´05. Proceedings of the 5th ACM/IEEE-CS Joint Conference on
Print_ISBN :
1-58113-876-8
DOI :
10.1145/1065385.1065480
