TY - JOUR
T1 - Towards musicologist-driven mining of handwritten scores
AU - Niitsuma, Masahiro
AU - Tomita, Yo
AU - Yan, Wei Qi
AU - Bell, David
N1 - Funding Information:
This work is financially supported by the Nakajima foundation.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - Historical musicologists have been seeking objective and powerful techniques to collect, analyze, and verify their findings for many decades. The aim of this study was to show the importance of such domain-specific problems to achieve actionable knowledge discovery in the real world. Our focus is on finding evidence for the chronological ordering of J.S. Bachs manuscripts, by proposing a musicologist-driven mining method for extracting quantitative information from early music manuscripts. Bachs C-clefs were extracted from a wide range of manuscripts under the direction of domain experts, and with these, the classification of C-clefs was conducted. The proposed methods were evaluated on a dataset containing over 1000 clefs extracted from J.S. Bachs manuscripts. The results show more than 70% accuracy for dating J.S. Bachs manuscripts. Dating of Bachs lost manuscripts was quantitatively hypothesized, providing a rough barometer to be combined with other evidence to evaluate musicologists hypotheses, and the usability of this domain-driven approach is demonstrated.
AB - Historical musicologists have been seeking objective and powerful techniques to collect, analyze, and verify their findings for many decades. The aim of this study was to show the importance of such domain-specific problems to achieve actionable knowledge discovery in the real world. Our focus is on finding evidence for the chronological ordering of J.S. Bachs manuscripts, by proposing a musicologist-driven mining method for extracting quantitative information from early music manuscripts. Bachs C-clefs were extracted from a wide range of manuscripts under the direction of domain experts, and with these, the classification of C-clefs was conducted. The proposed methods were evaluated on a dataset containing over 1000 clefs extracted from J.S. Bachs manuscripts. The results show more than 70% accuracy for dating J.S. Bachs manuscripts. Dating of Bachs lost manuscripts was quantitatively hypothesized, providing a rough barometer to be combined with other evidence to evaluate musicologists hypotheses, and the usability of this domain-driven approach is demonstrated.
KW - domain-driven data mining
KW - historical musicology
KW - music informatics
KW - music information retrieval
KW - optical music recognition
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U2 - 10.1109/MIS.2018.111144115
DO - 10.1109/MIS.2018.111144115
M3 - Article
AN - SCOPUS:85041229242
SN - 1541-1672
VL - 33
SP - 24
EP - 34
JO - IEEE Intelligent Systems and Their Applications
JF - IEEE Intelligent Systems and Their Applications
IS - 4
M1 - 8255771
ER -