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OMR metrics and evaluation: a systematic review

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Abstract

Music is rhythm, timbre, tones, intensity and performance. Conventional Western Music Notation (CWMN) is used to generate Music Scores in order to register music on paper. Optical Music Recognition (OMR) studies techniques and algorithms for converting music scores into a readable format for computers. This work presents a systematic literature review (SLR) searching for metrics and methods of evaluation and comparing for OMR systems and algorithms. The most commonly used metrics on OMR works are described. A research protocol is elaborated and executed. From 802 publications found, 94 are evaluated. All results are organized and classified focusing on metrics, stages, comparisons, OMR datasets and related works. Although there is still no standard methodology for evaluating OMR systems, a good number of datasets and metrics are already available and apply to all the stages of OMR. Some of the analyzed works can give good directions for future works.

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Notes

  1. https://www.mendeley.com/

  2. http://www.cvc.uab.es/cvcmuscima/competition/index.htm

  3. http://www.cvc.uab.es/cvcmuscima/competition2013/

  4. http://gamera.informatik.hsnr.de/addons/musicstaves/testset-musicstaves.tar.gz

  5. http://www.cvc.uab.es/cvcmuscima/index_database.html

  6. http://imslp.org/wiki/Main_Page

  7. http://grfia.dlsi.ua.es/homus/

  8. http://mipal.snu.ac.kr/index.php/Repository

  9. http://www.digital-scriptorium.org/

  10. http://www.disit.org/5932

  11. http://www.scribeserver.com/NEUMES/index.html

  12. https://sites.google.com/site/elyorkodirovresearch/omr-chsr6306

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Acknowledgments

We would like to thank CAPES (Coordination for the Improvement of Higher Level Personnel) and CNPq (National Council for Scientific and Technological Development) from the Brazilian government and Fundação Araucária for their financial support on the project.

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  1. Postgraduate Program in Computer Science — PPGIa — Polytechnic School, Pontifícia Universidade Católica do Paraná - PUCPR, Av. Imaculada Conceição, 1155 - Prado Velho, Curitiba, Parana, 80215-901, Brazil

    Luciano Mengarelli, Bruno Kostiuk, João G. Vitório, Maicon A. Tibola, William Wolff & Carlos N. Silla Jr.

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  1. Luciano Mengarelli
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Mengarelli, L., Kostiuk, B., Vitório, J.G. et al. OMR metrics and evaluation: a systematic review. Multimed Tools Appl 79, 6383–6408 (2020). https://doi.org/10.1007/s11042-019-08200-0

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