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      | Project: Transcripción automática de patrimonio musical escrito en notación mensural 
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	publications Project Co-ordinator: Calvo Zaragoza, JorgeFunding: Generalitat Valenciana
 Reference: GV/2020/030
 Budget: 7379
 Period: from 2020-01-01 to
        2021-12-31
 Web:
 Summary:
 
 El objetivo global del proyecto es estudiar, por primera vez, la automatización en el proceso de transcripción de documentos de música manuscrita en notación mensural a notación musical moderna.   
 Ríos-Vila; A.; Esplà-Gomis, M.; Rizo, D. ; Ponce de León, P.J.;  Iñesta, J.M."Applying Automatic Translation for Optical Music Recognition’s Encoding Step"
 Applied Sciences, vol. 11
    (2021)
 : bibtex
      : more info
Rios-Vila, A.; Rizo, D.; Calvo-Zaragoza, J.;"Complete Optical Music Recognition via Agnostic Transcription and Machine Translation"
 16th International Conference on Document Analysis and Recognition, pp. 661-675
    (2021)
 : bibtex
      : more info
López-Gutiérrez, J.C.; Valero-Mas, J.J.; Castellanos, F.J.; Calvo-Zaragoza J."Data Augmentation for End-to-End Optical Music Recognition"
 Proceedings of the 14th IAPR International Workshop on Graphics Recognition (GREC), pp. 59-73
    (2021)
 : bibtex
      : more info
Garrido-Munoz, C.; Sánchez-Hernández, A.; Castellanos, F. J.; Calvo-Zaragoza, J."Domain Adaptation for Document Image Binarization via Domain Classification"
 Frontiers in Artificial Intelligence and Applications, ISBN: 978-1-64368-224-2, pp. 569-582
    (2021)
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      : more info
Mas-Candela, E.; Alfaro-Contreras, M.; Calvo-Zaragoza, J.;"Sequential Next-Symbol Prediction for Optical Music Recognition"
 16th International Conference on Document Analysis and Recognition
    (2021)
 : bibtex
      : more info
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