IEICE TRANSACTIONS on Information
Salient Chromagram Extraction Based on Trend Removal for Cover Song Identification
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E104-D No.1 pp.51-54
- Publication Date
- 2021/01/01
- Publicized
- 2020/10/19
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2020MUL0002
- Type of Manuscript
- Special Section LETTER (Special Section on Enriched Multimedia — Multimedia Security and Forensics —)
- Category
Authors
Jin S. SEO
Gangneung-Wonju National University
Keyword
Latest Issue
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Cite this
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Jin S. SEO, "Salient Chromagram Extraction Based on Trend Removal for Cover Song Identification" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 1, pp. 51-54, January 2021, doi: 10.1587/transinf.2020MUL0002.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020MUL0002/_p
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@ARTICLE{e104-d_1_51,
author={Jin S. SEO, },
journal={IEICE TRANSACTIONS on Information},
title={Salient Chromagram Extraction Based on Trend Removal for Cover Song Identification},
year={2021},
volume={E104-D},
number={1},
pages={51-54},
abstract={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.},
keywords={},
doi={10.1587/transinf.2020MUL0002},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Salient Chromagram Extraction Based on Trend Removal for Cover Song Identification
T2 - IEICE TRANSACTIONS on Information
SP - 51
EP - 54
AU - Jin S. SEO
PY - 2021
DO - 10.1587/transinf.2020MUL0002
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2021
AB - 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.
ER -
English
