Understanding Optical Music Recognition

For over 50 years, researchers have been trying to teach computers to read music notation, which we refer to as Optical Music Recognition. However, this field is still difficult to access for new researchers, especially those without a significant musical background: few introductory materials are available, and furthermore the field has struggled with defining itself…

Active Researchers

To the best of our knowledge, the following people are actively researching and working on OMR (in alphabetical order): Baro, Arnau Byrd, Donald Calvo-Zaragoza, Jorge Castellanos, Francisco J. Coüasnon, Bertrand Choi, Kwon-Young Crawford, Tim Elezi, Ismail Fornés, Alicia Fujinaga, Ichiro Hajič, Jan jr. Pacha, Alexander Ringwalt, Dan Rizo, David Roggenkemper, Heinz Tuggener, Lukas Vigliensoni, Gabriel…

Getting started with OMR

During ISMIR 2018, Ichiro Fujinaga, Jorge Calvo-Zaragoza, Jan Hajič jr., and Alexander Pacha gave a tutorial that was recorded and is available on our YouTube Channel. Icons on this website made by Freepik from http://www.flaticon.com are licensed by CC 3.0 BY.

Assessing PlayScore

End of August the German computer magazine c’t published a thorough review of programs that digitize sheet music (18/2019, page 122-126). The three programs that achieved ‘good recognition’ were PhotoScore, SharpEye, and SmartScore with a reported 98% accuracy – the same programs that did well in the review that c’t published in 2001! PlayScore was…

Introduction to MUSCIMA++

In this video, Jan Hajič jr. introduces the MUSCIMA++ dataset and explains how it can be used to solve OMR.

Assessments for slurs/ties and for articulations

When I wrote the first blog post about assessments about a month ago, I noted that OMR products had trouble with slurs and articulations. So an assessment of both seems very useful! Let us have a look at the following stave: One of the OMR outputs looked like this: The assessment is fairly straight-forward: a slur…

Assessments without MusicXML

In the last weeks, I have shown how a note/rest assessment works for OMR systems that supports MusicXML as an output. There are of course OMR systems in development that do not support MusicXML and may not be able to process a full page. How can the note/rest assessment handle such situations? To address this,…