This repository contains the public implementation of the paper:
Antonio Ríos-Vila, David Rizo, José M.Iñesta, Jorge Calvo-Zaragoza
End-to-end optical music recognition for pianoform sheet music
International Journal on Document Analysis and Recognition
Which implements an end-to-end Optical Music Recognition method for pianoform music sheets.
In this repository you will find:
- Access links to the datasets created to perform our experiments.
- Source code of the neural network model and carried experiments in the paper.
The GrandStaff dataset where the experiments of the paper have been carried are publicly available for replication purposes.
@Article{Ríos-Vila2023,
author={R{\'i}os-Vila, Antonio
and Rizo, David
and I{\~{n}}esta, Jos{\'e} M.
and Calvo-Zaragoza, Jorge},
title={End-to-end optical music recognition for pianoform sheet music},
journal={International Journal on Document Analysis and Recognition (IJDAR)},
year={2023},
month={May},
day={12},
issn={1433-2825},
doi={10.1007/s10032-023-00432-z},
url={https://doi.org/10.1007/s10032-023-00432-z}
}