Salient Chromagram Extraction Based on Trend Removal for Cover Song Identification

被引:1
作者
Seo, Jin S. [1 ]
机构
[1] Gangneung Wonju Natl Univ, Dept Elect Engn, Kangnung, South Korea
来源
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2021年 / E104D卷 / 01期
关键词
chromagram; cover song; music retrieval; timber invariance; trend estimation; FEATURES;
D O I
10.1587/transinf.2020MUL0002
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:51 / 54
页数:4
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