For over 50 years, researchers have been trying to teach computers to read music notation,
referred to as Optical Music Recognition (OMR). However, this field is still difficult to access …

Optical music recognition is a research field whose efforts have been mainly focused, due to
the difficulties involved in its processes, on document and image recognition. However …

State-of-the-art Optical Music Recognition (OMR) techniques follow an end-to-end or holistic
approach, ie, a sole stage for completely processing a single-staff section image and for …

Most of the musical heritage is only available as physical documents, given that the
engraving process was carried out by handwriting or typesetting until the end of the 20th …

Optical music recognition (OMR) is the field that studies how to automatically read music
notation from score images. One of the relevant steps within the OMR workflow is the staff …

Early musical sources in white mensural notation—the most common notation in European
printed music during the Renaissance—are nowadays preserved by libraries worldwide …

The paper describes an online tool, OMRAT, for semi-automatic annotation of music scores
for Optical Music Recognition (OMR) systems. OMRAT uses deep neural networks, machine …

This paper presents the details about the digitization of a Guatemalan polyphonic choirbook,
part of a larger collection held at the Archivo Histórico Arquidiocesano de Guatemala …

Abstract Optical Music Recognition is a field of research that automates the reading of
musical scores so as to transcribe their content into a structured digital format. When dealing …

In this paper, we present a music information retrieval (MIR) pipeline to aid musicologists in
making editions of mensural music sources. We designed this pipeline by improving existing …