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Towards Musicologist-driven Mining of Handwritten

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  • معلومة اضافية
    • بيانات النشر:
      Institute of Electrical and Electronics Engineers
    • الموضوع:
      2017
    • Collection:
      Auckland University of Technology: AUT Scholarly Commons
    • نبذة مختصرة :
      Historical musicologists have been seeking for objective and powerful techniques to collect, analyse 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 the world. Our focus is on finding evidence for the chronological ordering of J.S. Bach’s manuscripts, by proposing a musicologist-driven mining method for extracting quantitative information from early music manuscripts. Bach’s 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. Bach’s manuscripts. The results show more than 70% accuracy for dating J.S. Bach’s manuscripts. Dating of Bach’s lost manuscripts was quantitatively hypothesized, providing a rough barometer to be combined with other evidence to evaluate musicologists’ hypotheses, and the practicability of this domain-driven approach is demonstrated.
    • File Description:
      application/pdf
    • ISSN:
      1541-1672
    • Relation:
      https://www.computer.org/csdl/magazine/ex/2018/04/mex2018040024/17D45WYQJ90; IEEE Intelligent Systems, vol. 33, no. 4, pp. 24-34, Jul./Aug. 2018. doi:10.1109/MIS.2018.111144115; https://hdl.handle.net/10292/12306
    • الرقم المعرف:
      10.1109/MIS.2018.111144115
    • Rights:
      Copyright © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. ; OpenAccess
    • الرقم المعرف:
      edsbas.36679883