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Published in:
2015 | OriginalPaper | Chapter
Live Version Identification with Audio Scene Detection
Authors : Kazumasa Ishikura, Aiko Uemura, Jiro Katto
Published in: MultiMedia Modeling
Publisher: Springer International Publishing
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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.