@article{ART001002623},
author={Jiyoung Shim and Taesoo Kim},
title={A Study on the Musical Theme Clustering for Searching Note Sequences},
journal={Journal of the Korean Society for Information Management},
issn={1013-0799},
year={2002},
volume={19},
number={3},
pages={1-30},
doi={10.3743/KOSIM.2002.19.3.005}
TY - JOUR
AU - Jiyoung Shim
AU - Taesoo Kim
TI - A Study on the Musical Theme Clustering for Searching Note Sequences
JO - Journal of the Korean Society for Information Management
PY - 2002
VL - 19
IS - 3
PB - 한국정보관리학회
SP - 1
EP - 30
SN - 1013-0799
AB - In this paper, classification feature is selected with focus of musical content, note sequences pattern, and measures similarity between note sequences followed by constructing clusters by similar note sequences, which is easier for users to search by showing the similar note sequences with the search result in the CBMR system. Experimental document was 「A Dictionary of Musical Themes」, the index of theme bar focused on classical music and obtained kern-type file. Humdrum Toolkit version 1.0 was used as note sequences treat tool. The hierarchical clustering method is by stages focused on four-type similarity matrices by whether the note sequences segmentation or not and where the starting point is. For the measurement of the result, WACS standard is used in the case of being manual classification and in the case of the note sequences starling from any point in the note sequences, there is used common feature pattern distribution in the cluster obtained from the clustering result. According to the result, clustering with segmented feature unconnected with the starting point Is higher with distinct difference compared with clustering with non-segmented feature.
KW - Humdrum note sequences;clustering;content-based music retrieval;feature;segmentation;Humdrum
DO - 10.3743/KOSIM.2002.19.3.005
ER -
Jiyoung Shim and Taesoo Kim. (2002). A Study on the Musical Theme Clustering for Searching Note Sequences. Journal of the Korean Society for Information Management, 19(3), 1-30.
Jiyoung Shim and Taesoo Kim. 2002, "A Study on the Musical Theme Clustering for Searching Note Sequences", Journal of the Korean Society for Information Management, vol.19, no.3 pp.1-30. Available from: doi:10.3743/KOSIM.2002.19.3.005
Jiyoung Shim, Taesoo Kim "A Study on the Musical Theme Clustering for Searching Note Sequences" Journal of the Korean Society for Information Management 19.3 pp.1-30 (2002) : 1.
Jiyoung Shim, Taesoo Kim. A Study on the Musical Theme Clustering for Searching Note Sequences. 2002; 19(3), 1-30. Available from: doi:10.3743/KOSIM.2002.19.3.005
Jiyoung Shim and Taesoo Kim. "A Study on the Musical Theme Clustering for Searching Note Sequences" Journal of the Korean Society for Information Management 19, no.3 (2002) : 1-30.doi: 10.3743/KOSIM.2002.19.3.005
Jiyoung Shim; Taesoo Kim. A Study on the Musical Theme Clustering for Searching Note Sequences. Journal of the Korean Society for Information Management, 19(3), 1-30. doi: 10.3743/KOSIM.2002.19.3.005
Jiyoung Shim; Taesoo Kim. A Study on the Musical Theme Clustering for Searching Note Sequences. Journal of the Korean Society for Information Management. 2002; 19(3) 1-30. doi: 10.3743/KOSIM.2002.19.3.005
Jiyoung Shim, Taesoo Kim. A Study on the Musical Theme Clustering for Searching Note Sequences. 2002; 19(3), 1-30. Available from: doi:10.3743/KOSIM.2002.19.3.005
Jiyoung Shim and Taesoo Kim. "A Study on the Musical Theme Clustering for Searching Note Sequences" Journal of the Korean Society for Information Management 19, no.3 (2002) : 1-30.doi: 10.3743/KOSIM.2002.19.3.005
