From Optical Music Recognition to Handwritten Music Recognition: A baseline

Arnau Baró, Pau Riba, Jorge Calvo-Zaragoza, Alicia Fornés

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Resum

© 2019 Elsevier B.V. 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 of research, the recognition of handwritten music scores, concretely the Western notation, is still an open problem, and the few existing works only focus on a specific stage of OMR. In this work, we propose a full Handwritten Music Recognition (HMR) system based on Convolutional Recurrent Neural Networks, data augmentation and transfer learning, that can serve as a baseline for the research community.
Idioma originalEnglish
Pàgines (de-a)1-8
RevistaPattern Recognition Letters
Volum123
DOIs
Estat de la publicacióPublicada - 15 de maig 2019

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