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Calvo-Zaragoza, J.; Rizo, D. (2018). End-to-End Neural Optical Music Recognition of Monophonic Scores. Applied Sciences. 8(4). https://doi.org/10.3390/app8040606
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/143793
Título: | End-to-End Neural Optical Music Recognition of Monophonic Scores | |
Autor: | Calvo-Zaragoza, Jorge Rizo, D. | |
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[EN] 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 complete solutions to the problem. In ...[+]
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Derechos de uso: | Reconocimiento (by) | |
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Versión del editor: | https://doi.org/10.3390/app8040606 | |
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This work was supported by the Social Sciences and Humanities Research Council of Canada, and the Spanish Ministerio de Economia y Competitividad through Project HISPAMUS Ref. No. TIN2017-86576-R (supported by UE FEDER funds).[+]
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