Handwritten Historical Music Recognition by Sequence-to-Sequence with Attention Mechanism
Baró Mas, Arnau (Centre de Visió per Computador)
Fornés Bisquerra, Alicia (Centre de Visió per Computador)
Badal Pérez-Alarcón, Carles (Universitat Autònoma de Barcelona. Departament d'Art i de Musicologia)
International Conference on Frontiers in Handwriting Recognition (ICFHR) (17è : 7-10 September 2020 : Dortmund, Germany)

Imprint:	Dortmund, Germany : Institute of Electrical and Electronical Engineers (IEEE), 2020
Description:	6 pàg.
Abstract:	Despite decades of research in Optical Music Recognition (OMR), the recognition of old handwritten music scores remains a challenge because of the variabilities in the handwriting styles, paper degradation, lack of standard notation, etc. Therefore, the research in OMR systems adapted to the particularities of old manuscripts is crucial to accelerate the conversion of music scores existing in archives into digital libraries, fostering the dissemination and preservation of our music heritage. In this paper we explore the adaptation of sequence-to-sequence models with attention mechanism (used in translation and handwritten text recognition) and the generation of specific synthetic data for recognizing old music scores. The experimental validation demonstrates that our approach is promising, especially when compared with long short-term memory neural networks.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Capítol de llibre ; recerca ; Versió acceptada per publicar
Subject:	Optical music recognition ; Handwritten music recognition ; Document image analysis and recognition ; Historical Documents ; Deep neural networks ; Sequence to Sequence
Published in:	Proceedings : 2020 17th International Conference on Frontiers in Handwriting Recognition ICFHR 2020, , p. 205-210, ISBN 978-1-7281-9966-5

DOI: 10.1109/ICFHR2020.2020.00046

Available from: 2100-01-01 6 p, 756.4 KB

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