IEICE TRANSACTIONS on Information
A Music Similarity Function Based on the Centroid Model
Summary :
Music-similarity computation is an essential building block for the browsing, retrieval, and indexing of digital music archives. This paper proposes a music similarity function based on the centroid model, which divides the feature space into non-overlapping clusters for the efficient computation of the timber distance of two songs. We place particular emphasis on the centroid deviation as a feature for music-similarity computation. Experiments show that the centroid-model representation of the auditory features is promising for music-similarity computation.
- Publication
- IEICE TRANSACTIONS on Information Vol.E96-D No.7 pp.1573-1576
- Publication Date
- 2013/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E96.D.1573
- Type of Manuscript
- LETTER
- Category
- Music Information Processing
Authors
Jin Soo SEO
Gangneung-Wonju National University
Keyword
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Jin Soo SEO, "A Music Similarity Function Based on the Centroid Model" in IEICE TRANSACTIONS on Information,
vol. E96-D, no. 7, pp. 1573-1576, July 2013, doi: 10.1587/transinf.E96.D.1573.
Abstract: Music-similarity computation is an essential building block for the browsing, retrieval, and indexing of digital music archives. This paper proposes a music similarity function based on the centroid model, which divides the feature space into non-overlapping clusters for the efficient computation of the timber distance of two songs. We place particular emphasis on the centroid deviation as a feature for music-similarity computation. Experiments show that the centroid-model representation of the auditory features is promising for music-similarity computation.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E96.D.1573/_p
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@ARTICLE{e96-d_7_1573,
author={Jin Soo SEO, },
journal={IEICE TRANSACTIONS on Information},
title={A Music Similarity Function Based on the Centroid Model},
year={2013},
volume={E96-D},
number={7},
pages={1573-1576},
abstract={Music-similarity computation is an essential building block for the browsing, retrieval, and indexing of digital music archives. This paper proposes a music similarity function based on the centroid model, which divides the feature space into non-overlapping clusters for the efficient computation of the timber distance of two songs. We place particular emphasis on the centroid deviation as a feature for music-similarity computation. Experiments show that the centroid-model representation of the auditory features is promising for music-similarity computation.},
keywords={},
doi={10.1587/transinf.E96.D.1573},
ISSN={1745-1361},
month={July},}
Copy
TY - JOUR
TI - A Music Similarity Function Based on the Centroid Model
T2 - IEICE TRANSACTIONS on Information
SP - 1573
EP - 1576
AU - Jin Soo SEO
PY - 2013
DO - 10.1587/transinf.E96.D.1573
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2013
AB - Music-similarity computation is an essential building block for the browsing, retrieval, and indexing of digital music archives. This paper proposes a music similarity function based on the centroid model, which divides the feature space into non-overlapping clusters for the efficient computation of the timber distance of two songs. We place particular emphasis on the centroid deviation as a feature for music-similarity computation. Experiments show that the centroid-model representation of the auditory features is promising for music-similarity computation.
ER -
English
