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 …

Deep learning for symbols detection and classification in engineering drawings

E Elyan, L Jamieson, A Ali-Gombe - Neural networks, 2020 - Elsevier
Engineering drawings are commonly used in different industries such as Oil and Gas,
construction, and other types of engineering. Digitising these drawings is becoming …

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 …

A first look at user activity on tinder

G Tyson, VC Perta, H Haddadi… - 2016 IEEE/ACM …, 2016 - ieeexplore.ieee.org
Mobile dating apps have become a popular means to meet potential partners. Although
several exist, one recent addition stands out amongst all others. Tinder presents its users …

From optical music recognition to handwritten music recognition: a baseline

A Baró, P Riba, J Calvo-Zaragoza, A Fornés - Pattern Recognition Letters, 2019 - Elsevier
Abstract Optical Music Recognition (OMR) is the branch of document image analysis that
aims to convert images of musical scores into a computer-readable format. Despite decades …

An ensemble of deep transfer learning models for handwritten music symbol recognition

A Paul, R Pramanik, S Malakar, R Sarkar - Neural Computing and …, 2022 - Springer
In ancient times, there was no system to record or document music. A basic notation system
to write European music was formulated around 14th century in the Baroque period which …

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 …

The MUSCIMA++ dataset for handwritten optical music recognition

J Hajič, P Pecina - 2017 14th IAPR International Conference …, 2017 - ieeexplore.ieee.org
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 …