For centuries, music has been shared and remembered by two traditions: aural transmission
and in the form of written documents normally called musical scores. Many of these scores …

Optical Music Recognition (OMR) is concerned with transcribing sheet music into a machine-
readable format. The transcribed copy should allow musicians to compose, play and edit …

Many musical works produced in the past are still currently available only as original
manuscripts or as photocopies. The preservation of these works requires their digitalization …

Optical Music Recognition is a field of research that investigates how to computationally
decode music notation from images. Despite the efforts made so far, there are hardly any …

Optical Music Recognition (OMR) promises to make accessible the content of large amounts
of musical documents, an important component of cultural heritage. However, the field does …

The analysis of music scores has been an active research field in the last decades.
However, there are no publicly available databases of handwritten music scores for the …

Deep learning is bringing breakthroughs to many computer vision subfields including
Optical Music Recognition (OMR), which has seen a series of improvements to musical …

The optical music recognition (OMR) field studies how to automate the process of reading
the musical notation present in a given image. Among its many uses, an interesting scenario …

End-to-end solutions have brought about significant advances in the field of Optical Music
Recognition. These approaches directly provide the symbolic representation of a given …

The preservation of musical works produced in the past requires their digitalization and
transformation into a machine-readable format. The processing of handwritten musical …