Understanding optical music recognition

J Calvo-Zaragoza, JH Jr, A Pacha - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
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: State of the art and major challenges

E Shatri, G Fazekas - arxiv preprint arxiv:2006.07885, 2020 - arxiv.org
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 …

Optical music recognition: state-of-the-art and open issues

A Rebelo, I Fu**aga, F Paszkiewicz… - International Journal of …, 2012 - Springer
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 …

New trends on digitisation of complex engineering drawings

CF Moreno-García, E Elyan, C Jayne - Neural computing and applications, 2019 - Springer
Engineering drawings are commonly used across different industries such as oil and gas,
mechanical engineering and others. Digitising these drawings is becoming increasingly …

Handwritten music recognition for mensural notation with convolutional recurrent neural networks

J Calvo-Zaragoza, AH Toselli, E Vidal - Pattern Recognition Letters, 2019 - Elsevier
Abstract Optical Music Recognition is the technology that allows computers to read music
notation, which is also referred to as Handwritten Music Recognition when it is applied over …

End-to-end neural optical music recognition of monophonic scores

J Calvo-Zaragoza, D Rizo - Applied Sciences, 2018 - mdpi.com
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 recognition of music symbols: A comparative study

A Rebelo, G Capela, JS Cardoso - International Journal on Document …, 2010 - Springer
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 …

CVC-MUSCIMA: a ground truth of handwritten music score images for writer identification and staff removal

A Fornés, A Dutta, A Gordo, J Lladós - International Journal on Document …, 2012 - Springer
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 …

[PDF][PDF] Camera-PrIMuS: Neural End-to-End Optical Music Recognition on Realistic Monophonic Scores.

J Calvo-Zaragoza, D Rizo - ISMIR, 2018 - academia.edu
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 …

Deep neural networks for document processing of music score images

J Calvo-Zaragoza, FJ Castellanos, G Vigliensoni… - Applied Sciences, 2018 - mdpi.com
There is an increasing interest in the automatic digitization of medieval music documents.
Despite efforts in this field, the detection of the different layers of information on these …