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1st International Workshop on Reading Music Systems


Paris, September 20

PRAIg '18 / +pics


11th international workshop on Machine Learning and Music


Stockholm: 13-15th July 2018

Project: Reconocimiento óptico de música (OMR) mediante técnicas de aprendizaje automático

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In this page: general info : members : partners : links : publications

General info:

Project Co-ordinator: Pertusa Ibáñez, Antonio Jorge
Funding: Univerisdad de Alicante
Reference: GRE16-14
Budget: 5.417
Period: from 2017-06-01 to 2019-05-30



  1. Calvo-Zaragoza, J.; Gallego, A.J.
    "A selectional auto-encoder approach for document image binarization"
    Pattern Recognition (2018)
    : bibtex : more info
  2. Román, M.A.;Pertusa, A.;Calvo, J.
    "An End-to-End Framework for Audio-to-Score Music Transcription on Monophonic Excerpts"
    Proc. of the 19th International Society for Music Information Retrieval Conference (ISMIR), Paris, France (2018)
    : bibtex : more info : URL
  3. Castellanos, F. J.; Valero-Mas, J. J.; Calvo-Zaragoza, J.; Rico-Juan, J. R.
    "Oversampling imbalanced data in the string space"
    Pattern Recognition Letters, vol. 103, pp. 32--38 (2018)
    : bibtex : more info : DOI
  4. Calvo-Zaragoza, J.; Valero-Mas, J.J.; Pertusa, A
    "End-To-End Optical Music Recognition using Neural Networks"
    Proc. of International Society for Music Information Retrieval Conference (ISMIR), Suzhou, China (2017)
    : bibtex : more info : pdf
  5. Calvo-Zaragoza, J.; Gallego, A.-J.; Pertusa, A.
    "Recognition of Handwritten Music Symbols with Convolutional Neural Codes"
    14th IAPR International Conference on Document Analysis and Recognition (ICDAR), pp. 691--696, Kyoto, Japan (2017)
    : bibtex : more info : URL

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