Live Version Identification with Audio Scene Detection

This paper presents a live version music identification system by modifying the conventional cover song identification system. The proposed system includes two stages: a live version identification phase and an audio scene-detection phase. We improve the accuracy of the system by weighting similarit...

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Bibliographic Details
Published inMultiMedia Modeling pp. 408 - 417
Main Authors Ishikura, Kazumasa, Uemura, Aiko, Katto, Jiro
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
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Summary:This paper presents a live version music identification system by modifying the conventional cover song identification system. The proposed system includes two stages: a live version identification phase and an audio scene-detection phase. We improve the accuracy of the system by weighting similarity scores in the live version identification phase and discriminating scenes by using RMS, pulse clarity and similarity scores. Results show that the proposed method performs better than the previous method. The final algorithm achieves 70% accuracy on average.
ISBN:3319144448
9783319144443
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-14445-0_35