%0 Conference Paper %1 Moss2022_ChallengingSourcesNew %A Moss, Fabian C. %A Nápoles López, Néstor %A Köster, Maik %A Rizo, David %B Proceedings of the 4th International Workshop on Reading Music Systems (WoRMS 2022) %C Online %D 2022 %E Calvo-Zaragoza, Jorge %E Pacha, Alexander %E Shatri, Elona %K imported %P 4--8 %T Challenging Sources: A New Dataset for OMR of Diverse 19th-Century Music Theory Examples %U https://sites.google.com/view/worms2022/proceedings %X A major limitation of current Optical Music Recognition (OMR) systems is that their performance strongly depends on the variability in the input images. What for human readers seems almost trivial---e.g., reading music in a range of different font types in different contexts---can drastically reduce the output quality of OMR models. This paper introduces the 19MT-OMR corpus that can be used to test OMR models on a diverse set of sources. We illustrate this challenge by discussing several examples from this data set.

@inproceedings{Moss2022_ChallengingSourcesNew, abstract = {A major limitation of current Optical Music Recognition (OMR) systems is that their performance strongly depends on the variability in the input images. What for human readers seems almost trivial---e.g., reading music in a range of different font types in different contexts---can drastically reduce the output quality of OMR models. This paper introduces the 19MT-OMR corpus that can be used to test OMR models on a diverse set of sources. We illustrate this challenge by discussing several examples from this data set.}, added-at = {2022-12-01T10:40:20.000+0100}, address = {{Online}}, author = {Moss, Fabian C. and N{\'a}poles L{\'o}pez, N{\'e}stor and K{\"o}ster, Maik and Rizo, David}, author+an = {1=me}, biburl = {https://www.bibsonomy.org/bibtex/2ba9449c57febb2b5c922865a41af496d/fabian-moss}, booktitle = {Proceedings of the 4th {{International Workshop}} on {{Reading Music Systems}} ({{WoRMS}} 2022)}, copyright = {All rights reserved}, editor = {{Calvo-Zaragoza}, Jorge and Pacha, Alexander and Shatri, Elona}, file = {/home/fmoss/Zotero/storage/B9DFIZPN/Mossetal_Worms2022.pdf}, interhash = {3668fc14b9481bbe522c3369cb92343f}, intrahash = {ba9449c57febb2b5c922865a41af496d}, keywords = {imported}, pages = {4--8}, timestamp = {2022-12-05T09:33:45.000+0100}, title = {Challenging Sources: A New Dataset for {{OMR}} of Diverse 19th-Century Music Theory Examples}, url = {https://sites.google.com/view/worms2022/proceedings}, year = 2022 }