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Salient Chromagram Extraction Based on Trend Removal for Cover Song Identification
IEICE transactions on information and systems
This paper proposes a salient chromagram by removing local trend to improve cover song identification accuracy. The proposed salient chromagram emphasizes tonal contents of music, which are wellpreserved between an original song and its cover version, while reducing the effects of timber difference. We apply the proposed salient chromagram to the sequence-alignment based cover song identification. Experiments on two cover song datasets confirm that the proposed salient chromagram improves the cover song identification accuracy.doi:10.1587/transinf.2020mul0002 fatcat:ugntke6z3vdyfnkdutq7ggajcy