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• W1606305478 abstract "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." @default.
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• W1606305478 date "2014-05-12" @default.
• W1606305478 modified "2023-09-27" @default.
• W1606305478 title "Performances of low-level audio classifiers for large-scale music similarity" @default.
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