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Performances of low-level audio classifiers for large-scale music similarity
Osmalsky, Julien; Van Droogenbroeck, Marc; Embrechts, Jean-Jacques
2014In International Conference on Systems, Signals and Image Processing
Peer reviewed
 

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Performances of low-level audio classifiers for large-scale music similarity
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Keywords :
Music Information Retrieval; Audio classifiers; Similarity; Low-level audio features; Rejectors
Abstract :
[en] This paper proposes a survey of the performances of binary classifiers based on low-level audio features, for music similarity in large-scale databases. Various low-level descriptors are used individually and then combined using several fusion schemes in a content-based audio retrieval system. We show the performances of the classifiers in terms of pruning and loss and we demonstrate that some combination schemes achieve a better performance at a minimum computational cost.
Research center :
INTELSIG
Disciplines :
Computer science
Author, co-author :
Osmalsky, Julien ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Techniques du son et de l'image
Van Droogenbroeck, Marc  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Embrechts, Jean-Jacques ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Techniques du son et de l'image
Language :
English
Title :
Performances of low-level audio classifiers for large-scale music similarity
Publication date :
May 2014
Event name :
International Conference on Systems, Signals and Image Processing (IWSSIP)
Event place :
Dubrovnik, Croatia
Event date :
from 12-05-2014 to 15-05-2014
Audience :
International
Main work title :
International Conference on Systems, Signals and Image Processing
Pages :
91-94
Peer reviewed :
Peer reviewed
Available on ORBi :
since 21 January 2014

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