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2021

[WORKSHOP 2021]

15th workshop gRFIA

9th Music Encoding Conference (MEI 2021)

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Alicante, July 19-23

13th international workshop on Machine Learning and Music

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(online) September 18, 2020

Project: Multimodal Transcription of Music Scores

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

General info:

Project Co-ordinators: Calvo Zaragoza, Jorge; Pertusa Ibáñez, Antonio Jorge
Funding: Ministerio de Ciencia e Innovación
Reference: PID2020-118447RA-I00
Budget: 193.237 €
Period: from 2021-09-01 to 2024-08-31
Web: https://sites.google.com/view/multiscore-project
Summary:

Optical Music Recognition (OMR) and Automatic Music Transcription (AMT) are the research fields that investigate how to computationally transcribe music score images and audio recordings, respectively, into digital scores. After decades of research, neither AMT nor OMR have lived up to their commitment and remain open challenges, with plenty of room for improvement. MultiScore seeks to unlock the current situation by levering vast amounts of annotated data to apply state-of-the-art technologies in deep neural networks, and also to find intersections and synergies in both research lines that have previously been addressed separately.

Members:

Partners:
Links:
Publications:

  1. Alfaro-Contreras, M.; Valero-Mas, J.J.; Iñesta, J.M.; Calvo-Zaragoza, J
    "Late multimodal fusion for image and audio music transcription"
    Expert Systems With Applications (2023)
    : bibtex : more info
  2. Valero-Mas, J.J.; Gallego, A.J.; Alonso-Jiménez, P.; Serra, X.
    "Multilabel Prototype Generation for Data Reduction in k-Nearest Neighbour classification"
    Pattern Recognition, vol. 135, pp. 109190 (2023)
    : bibtex : more info : URL
  3. Mas-Candela, E.; Ríos-Vila, A.; Calvo-Zaragoza, J.
    "A First Approach to Image Transformation Sequence Retrieval"
    Iberian Pattern Recognition and Image Analysis, IbPRIA 2022., pp. 321-332, Aveiro, Portugal (2022)
    : bibtex : more info
  4. Alfaro-Contreras, M.; Ríos-Vila, A.; Valero-Mas, J.J.; Iñesta, J.M.; Calvo-Zaragoza, J.
    "Decoupling music notation to improve end-to-end Optical Music Recognition"
    Pattern Recognition Letters, vol. 158 , pp. 157--163 (2022)
    : bibtex : more info : DOI
  5. Castellanos, F. J.; Gallego, A. J.; Calvo-Zaragoza, J.; Fujinaga, I.
    "Domain Adaptation for Staff-Region Retrieval of Music Score Images"
    International Journal on Document Analysis and Recognition (2022)
    : bibtex : more info
  6. Desmond, K.; Pugin, L.; Regimbal, J.; Rizo, D.; Sapp, C.; Thomae, M. E.
    "Encoding Polyphony from Medieval Manuscripts Notated in Mensural Notation"
    Music Encoding Conference Proceedings 2021, ISBN: 978-84-1302-173-7, pp. 197–219 (2022)
    : bibtex : more info
  7. Ríos-Vila, A; Iñesta, J.M; Calvo-Zaragoza, J
    "End-to-End Full-Page Optical Music Recognition for Mensural Notation"
    Proceedings of the 23rd International Society for Music Information Retrieval Conference, ISMIR, Bangalore, India (2022)
    : bibtex : more info
  8. Alfaro-Contreras, M.; Ríos-Vila, A.; Valero-Mas, J.J.; Calvo-Zaragoza, J.
    "Few-Shot Music Symbol Classification via Self-Supervised Learning and Nearest Neighbor"
    Pattern Recognition. ICPR International Workshops and Challenges (2022)
    : bibtex : more info
  9. Alfaro-Contreras, M.; Valero-Mas, J.J.; Iñesta, J.M.; Calvo-Zaragoza, J
    "Insights into transfer learning between image and audio music transcription"
    Sound and Music Computing Conference, pp. 292-298, Saint-Étienne (2022)
    : bibtex : more info
  10. de la Fuente, C.; Valero-Mas, J.J.; Castellanos, F.J.; Calvo-Zaragoza, J.
    "Multimodal Image and Audio Music Transcription"
    International Journal of Multimedia Information Retrieval, vol. 11, pp. 77-84 (2022)
    : bibtex : more info
  11. Arroyo, V.; Valero-Mas, J. J.; Calvo-Zaragoza, J.; Pertusa, A.
    "Neural audio-to-score music transcription for unconstrained polyphony using compact output representations"
    Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapur, Singapur (2022)
    : bibtex : more info
  12. Ríos-Vila, A; Iñesta, J.M; Calvo-Zaragoza, J
    "On the Use of Transformers for End-to-End Optical Music Recognition"
    Iberian Pattern Recognition and Image Analysis, IbPRIA 2022., ISBN: 978-3-031-04880-7, pp. 470-481, Aveiro, Portugal (2022)
    : bibtex : more info
  13. Castellanos, F. J.; Garrido-Munoz, C.; Ríos-Vila, A.; Calvo-Zaragoza, J.;
    "Region-based Layout Analysis of Music Score Images"
    Expert Systems with Applications, pp. 118211 (2022)
    : bibtex : more info
  14. Rizo, D.; Delgado, T.; Calvo-Zaragoza, J.; Madueño, A.; García-Iasci, P.
    "Speeding-up the encoding of mensural collections from Spanish libraries"
    IAML 2022 Prague (2022)
    : bibtex : more info
  15. Rosello, A.; Ayllon, E.; Valero-Mas, J.J.; Calvo-Zaragoza, J.
    "Test Sample Selection for Handwriting Recognition Through Language Modeling"
    Pattern Recognition and Image Analysis - 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4-6, 2022, Proceedings (2022)
    : bibtex : more info
  16. Ríos-Vila, A.; Calvo-Zaragoza, J.; Iñesta, J.M.
    "CTC-based end-to-end approach for full page Optical Music Recognition"
    Proceedings of the 14th Machine Learning and Music Workshop, pp. 11 (2021)
    : bibtex : more info : Online proceedings : Proceedings online
  17. Calvo-Zaragoza, J.; Pertusa, A.; Gallego, A.-J.; Iñesta, J.M.; Mico, L.; Oncina, J.; Perez-Sancho, C.; Ponce de León, P.J.; Rizo, D.
    "MultiScore Project: Multimodal Transcription of Music Scores"
    Proceedings of the 14th Machine Learning and Music Workshop, pp. 3 (2021)
    : bibtex : pdf : more info

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