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Deep Neural Networks for Document Processing of Music Score Images

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Deep Neural Networks for Document Processing of Music Score Images

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Calvo-Zaragoza, J.; Castellanos, F.; Vigliensoni, G.; Fujinaga, I. (2018). Deep Neural Networks for Document Processing of Music Score Images. Applied Sciences. 8(5). https://doi.org/10.3390/app8050654

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/141464

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Title: Deep Neural Networks for Document Processing of Music Score Images
Author: Calvo-Zaragoza, Jorge Castellanos, F.J. Vigliensoni, G. Fujinaga, I.
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] There is an increasing interest in the automatic digitization of medieval music documents. Despite efforts in this field, the detection of the different layers of information on these documents still poses difficulties. ...[+]
Subjects: Optical Music Recognition , Music document processing , Music score images , Medieval manuscripts , Convolutional neural networks
Copyrigths: Reconocimiento (by)
Source:
Applied Sciences. (eissn: 2076-3417 )
DOI: 10.3390/app8050654
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/app8050654
Thanks:
This work was supported by the Social Sciences and Humanities Research Council of Canada, and Universidad de Alicante through grant GRE-16-04.
Type: Artículo

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