Salient Chromagram Extraction Based On Trend Removal For Cover Song Identification
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS(2021)
摘要
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 well-preserved 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.
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关键词
chromagram, cover song, music retrieval, timber invariance, trend estimation
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