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» Can Humans Benefit from Music Information Retrieval
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TASLP
2002
156views more  TASLP 2002»
13 years 5 months ago
Musical genre classification of audio signals
Abstract--Musical genres are categorical labels created by humans to characterize pieces of music. A musical genre is characterized by the common characteristics shared by its memb...
George Tzanetakis, Perry R. Cook
ANLP
2000
101views more  ANLP 2000»
13 years 6 months ago
Linguistic Knowledge can Improve Information Retrieval
This paper describes the results of some experiments using a new approach to information access that combines techniques from natural language processing and knowledge representat...
William A. Woods, Lawrence A. Bookman, Ann Houston...
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
14 years 6 days ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
WWW
2009
ACM
14 years 6 months ago
Deriving music theme annotations from user tags
Music theme annotations would be really beneficial for supporting retrieval, but are often neglected by users while annotating. Thus, in order to support users in tagging and to f...
Kerstin Bischoff, Claudiu S. Firan, Raluca Paiu
ISMIR
2005
Springer
159views Music» more  ISMIR 2005»
13 years 11 months ago
Ringomatic: A Real-Time Interactive Drummer Using Constraint-Satisfaction and Drum Sound Descriptors
We describe a real-time musical agent that generates an audio drum-track by concatenating audio segments automatically extracted from pre-existing musical files. The drum-track c...
Jean-Julien Aucouturier, François Pachet