Efficient optical music recognition validation using MIDI sequence data
Name
1193029222-MIT.pdf
Size
9.21 MB
Format
Adobe PDF
Checksum (MD5)
361afe32c6bf3b84f2a8378e7f61bcf6
Author(s)
Sands, Janelle C.
Advisor(s)
Michael Scott Cuthbert.
Date Issued
2020
Publisher
Massachusetts Institute of Technology
Abstract
Despite advances in optical music recognition (OMR), resultant scores are rarely error-free. The power of these OMR systems to automatically generate searchable and editable digital representations of physical sheet music is lost in the tedious manual effort required to pinpoint and correct these errors post-OMR, or even to just confirm no errors exist. To streamline post-OMR error correction, I developed a corrector to automatically identify discrepancies between resultant OMR scores and corresponding Musical Instrument Digital Interface (MIDI) scores and then either automatically fix errors, or in ambiguous cases, notify the user to manually fix errors. This tool will be open source, so anyone can contribute to further improving the accuracy of OMR tools and expanding the amount of trusted digitized music.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 139-141).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
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