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Project Co-ordinator: Iñesta Quereda, José Manuel
Funding: Ministerio de Ciencia, Innovación y Universidades
Reference: TIN2017-86576-R
Budget: 80.000
Period: from 2018-01-01 to 2021-09-30
Web: https://grfia.dlsi.ua.es/hispamus/
Summary:

The HISPAMUS proposal aims at valorizing the Hispanic music heritage from the 15th to the 19th centuries, by exploiting the digital resources of music collections. HISPAMUS will try to provide smart access to archival manuscripts of music scores, allowing its reuse and exploitation. The project aims at generating the software tools needed to convert manuscript score images to a modern digital format, like MEI/MusicXML, ready to render modern notation scores, readable by a contemporary musician, and allowing the public to enjoy and search into the digital contents of these works, either as a musicologist or as a musician.

• Calvo Zaragoza, Jorge
• Iñesta Quereda, José Manuel
• Micó Andrés, María Luisa
• Oncina Carratalá, Jose
• Pérez Sancho, Carlos
• Pertusa Ibáñez, Antonio Jorge
• Ponce de León Amador, Pedro José
• Rico Juan, Juan Ramón
• Rizo Valero, David

1. Miguel Angel Román García
   "An End-to-End Framework for Audio-to-Score Music Transcription"
   PhD Thesis. Supervisors: Antonio Pertusa, Jorge Calvo-Zaragoza
   Universidad de Alicante (2021)
   : bibtex : more info
2. 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
3. Castellanos, F. J.; Valero-Mas, J.J.; Calvo-Zaragoza, J.;
   "Prototype Generation in the String Space via Approximate Median for Data Reduction in Nearest Neighbor classification"
   Soft Computing (2021)
   : bibtex : more info
4. Calvo-Zaragoza, J.; Rizo, D.; Iñesta, J.M.
   "Reconocimiento Óptico de Partituras (OMR) aplicado al Fonde de Música Tradicional IMF-CSIC"
   Musicología en Web. Patrimonio musical y Humanidades Digitales, ISBN: 978-3-967280-14-2, pp. 87-109 (2021)
   : bibtex : more info
5. Castellanos, F. J.; Gallego, A. J.
   "Unsupervised Neural Document Analysis for Music Score Images"
   Proc. of the 3rd International Workshop on Reading Music Systems, pp. 50-54 (2021)
   : bibtex : more info
6. Castellanos, F. J.; Gallego, A. J.; Calvo-Zaragoza, J.;
   "Unsupervised Neural Domain Adaptation for Document Image Binarization"
   Pattern Recognition, vol. 119, pp. 108099 (2021)
   : bibtex : more info
7. Castellanos, F. J.; Calvo-Zaragoza, J.; Iñesta, J.M.
   "A neural approach for full-page Optical Music Recognition of mensural documents"
   Proceedings of the 21st International Society for Music Information Retrieval Conference, ISBN: 978-0-9813537-0-8, pp. 558-565, Montréal, Canada (2020)
   : bibtex : more info
8. L. Micó, J. Oncina & J.M. Iñesta
   "Adaptively Learning to Recognize Symbols in Handwritten Early Music"
   Machine Learning and Knowledge Discovery in Databases, ISBN: 978-3-030-43887-6, pp. 470--477 (2020)
   : bibtex : more info
9. Rico-Juan, J.R.; Valero-Mas, J.J.; Iñesta, J.M.
   "Bounding Edit Distance for similarity-based sequence classification on Structural Pattern Recognition"
   Applied Soft Computing, vol. 97 (Part A) (2020)
   : bibtex : more info : URL
10. Valero-Mas, J. J.; Castellanos, F. J.
    "Data Reduction in the String Space for Efficient kNN Classification through Space Partitioning"
    Applied Sciences, vol. 10, pp. 3356 (2020)
    : bibtex
11. Román, M.A., Pertusa, A., Calvo-Zaragoza, J.
    "Data representations for audio-to-score monophonic music transcription"
    Expert Systems with Applications, vol. 162, pp. 113769 (2020)
    : bibtex : URL
12. Ríos-Vila, A.; Calvo-Zaragoza, J.; Rizo, D.
    "Evaluating Simultaneous Recognition and Encoding for Optical Music Recognition"
    DLfM 2020: 7th International Conference on Digital Libraries for Musicology, ISBN: 978-1-4503-8760-6, pp. 10-17 (2020)
    : bibtex : more info
13. Ríos-Vila,A.; Calvo-Zaragoza, J.; Iñesta, J.M.
    "Exploring the two-dimensional nature of music notation for score recognition with end-to-end approaches"
    Proc. of 17th International Conference on Frontiers in Handwriting Recognition (ICFHR), ISBN: 978-1-7281-9966-5, pp. 193--198, Dormund (Germany) (2020)
    : bibtex : more info : proceedings
14. Gallego, A.-J.; Calvo-Zaragoza, J.; Fisher, B.;
    "Incremental Unsupervised Domain-Adversarial Training of Neural Networks"
    IEEE Transactions on Neural Networks and Learning Systems (2020)
    : bibtex : pdf : more info : doi
15. Gallego, A.-J; Calvo-Zaragoza, J.; Rico-Juan, J. R.
    "Insights Into Efficient k-Nearest Neighbor Classification With Convolutional Neural Codes"
    IEEE Access, vol. 8, pp. 99312-99326 (2020)
    : bibtex : more info : URL
16. Thomae, M.E.; Ríos-Vila, A.; Calvo-Zaragoza, J.; Rizo, D.; Iñesta, J.M.
    "Retrieving Music Semantics from Optical Music Recognition by Machine Translation"
    Music Encoding Conference Proceedings 26-29 May, 2020 Tufts University, Boston (USA), pp. 19-24 (2020)
    : bibtex : pdf : more info : Proceedings PDF
17. Castellanos, F. J.; Calvo-Zaragoza, J.; Iñesta, J.M.
    "Two-step neural cross-domain experiments forfull-page recognition of Mensural documents"
    Proc. of the 13th International Workshop on Machine Learning and Music, pp. 56--60 (2020)
    : bibtex : more info
18. Calvo-Zaragoza, J.; Hajic Jr., J.; Pacha, A.
    "Understanding Optical Music Recognition"
    ACM Computing Surveys, vol. 53, pp. 77 (2020)
    : bibtex : more info : Open Access
19. Román, M.A.; Pertusa, A.; Calvo-Zaragoza, J.
    "A Holistic Approach to Polyphonic Music Transcription with Neural Networks"
    Proc. of the 20th International Society for Music Information Retrieval Conference, ISMIR, pp. 731--737, Delf, The Netherlands (2019)
    : bibtex : more info : URL
20. Micó, L.; Oncina, J.; Iñesta, J.M.
    "Adaptively learning to recognize symbols in handwritten early music"
    procedings of the ECML/PKDD 12th International Workshop on Machine Learning and Music (MML 2019), Würzburg (Germany) (2019)
    : bibtex : pdf : more info
21. Rizo, D.; Marsden, A.
    "An MEI-based standard encoding for hierarchical music analyses"
    International Journal on Digital Libraries, vol. 20, pp. 93--105 (2019)
    : bibtex : more info
22. Alfaro-Contreras, M.; Calvo-Zaragoza, J.; Iñesta, J.M.
    "Approaching End-to-end Optical Music Recognition for Homophonic Scores"
    Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, ISBN: 978-3-030-31321-0, pp. 147--158, Madrid (2019)
    : bibtex : more info
23. Garay-Maestre, Unai; Gallego, Antonio-Javier; Calvo-Zaragoza, Jorge
    "Data Augmentation via Variational Auto-Encoders"
    Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, ISBN: 978-3-030-13469-3, pp. 29--37 (2019)
    : bibtex : more info : URL
24. Rizo. D.
    "DLfM '19: 6th International Conference on Digital Libraries for Musicology"
    Rizo, D. (Eds.) ACM, , ISBN: 978-1-4503-7239-8, The Hague, Netherlands (2019)
    : bibtex : more info
25. Mateiu, Tudor N.; Gallego, Antonio-Javier; Calvo-Zaragoza, Jorge
    "Domain Adaptation for Handwritten Symbol Recognition: A Case of Study in Old Music Manuscripts"
    Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA, ISBN: 978-3-030-31321-0, pp. 135--146, Madrid, Spain (2019)
    : bibtex : more info
26. Nuñez-Alcover, Alicia; Ponce de León, P. J.; and Calvo-Zaragoza, J.
    "Glyph and Position Classification of Music Symbols in Early Music Manuscripts"
    Proc. of the 9th Iberian Conference on Pattern Recognition and Image Analysis, LNCS vol. 11867, ISBN: 978-3-030-31331-9, pp. 159-168, Madrid, Spain (2019)
    : bibtex : pdf : more info
27. Calvo-Zaragoza, J.; Toselli, A.H.; Vidal, E.
    "Handwritten Music Recognition for Mensural Notation with Convolutional Recurrent Neural Networks"
    Pattern Recognition Letters, vol. 128, pp. 115--121 (2019)
    : bibtex : pdf : DOI
28. Gallego, Antonio-Javier; Pertusa, Antonio; Bernabeu, Marisa
    "Multi-Label Logo Classification using Convolutional Neural Networks"
    Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA, ISBN: 978-3-030-31332-6, pp. 485--497, Madrid, Spain (2019)
    : bibtex : more info : URL
29. Iñesta, J.M.; Rizo, D.; Calvo-Zaragoza, J.
    "MuRET as a software for the transcription of historical archives"
    Proceedings of the 2nd Workshop on Reading Music Systems, WoRMS, pp. 12--15, Delft (The Nederlands) (2019)
    : bibtex : pdf : more info : Workshop site
30. Rios-Vila, A.; Calvo-Zaragoza:J.; Rizo, D.; Iñesta, JM.
    "ReadSco: An Open-Source Web-Based Optical Music Recognition Tool"
    Proc. of the 2nd International Workshop on Reading Music Systems, WoRMS 2019, pp. 27-330, Delft (The Netherlands) (2019)
    : bibtex : pdf : more info
31. Iñesta, J.M.; Rizo, D.; Calvo-Zaragoza, J.
    "Recognition, encoding, and transcription of early mensural handwritten music"
    procedings of the 13th International Workshop on Graphics Recognition (GREC 2019), pp. 13-14, Sydney (Australia) (2019)
    : bibtex
32. Valero-Mas, J.J.; Benetos, E.; Iñesta, J.M.
    "A supervised classification approach for note tracking in polyphonic piano transcription"
    Journal of New Music Research, vol. 47, pp. 249--263 (2018)
    : bibtex : more info : RUA
33. 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
34. Calvo-Zaragoza, J.; Castellanos, F. J.; Vigliensoni, G.; Fujinaga, I
    "Deep Neural Networks for Document Processing of Music Score Images"
    Applied Sciences, vol. 8, pp. 654 (2018)
    : bibtex : more info : Open Access
35. Castellanos, F. J.; Calvo-Zaragoza, J.; Vigliensoni, G.; Fujinaga, I.
    "Document Analysis of Music Score Images with Selectional Auto-Encoders"
    Proceedings of the19th International Society for Music Information Retrieval Conference, pp. 256-263, Paris, France (2018)
    : bibtex : more info
36. Calvo-Zaragoza, J.; Rizo, D.
    "End-to-End Neural Optical Music Recognition of Monophonic Scores"
    Applied Sciences, vol. 8, pp. 606--623 (2018)
    : bibtex : more info : Open Access Journal URL
37. Iñesta, J.M.; Ponce de León, P.J.; Rizo, D.; Oncina, J.; Micó L.; Rico-Juan, J.R.; Pérez-Sancho, C.; Pertusa, A.
    "HISPAMUS: Handwritten Spanish Music Heritage Preservation by Automatic Transcription"
    Proceedings of the 1st Workshop on Reading Music Systems, WoRMS, pp. 17--18, Paris (2018)
    : bibtex : pdf : more info : Workshop site
38. Gallego, A.J.; Pertusa, A.; Calvo-Zaragoza, J.
    "Improving Convolutional Neural Networks’ Accuracy in Noisy Environments Using k-Nearest Neighbors"
    Applied Sciences, vol. 8 (2018)
    : bibtex : more info : URL
39. Micó, Luisa; Iñesta, José Manuel; Rizo, David
    "Incremental Learning for Recognition of Handwritten Mensural Notation"
    ICML joint workshop on Machine Learning for Music. (2018)
    : bibtex : pdf : more info : Workshop URL
40. Rizo, D.; Calvo-Zaragoza, J.; Iñesta, J.M.
    "MuRET: a music recognition, encoding, and transcription tool"
    Proceedings of the 5th International Conference on Digital Libraries for Musicology (DLfM'18), ISBN: 978-1-4503-6522-2, pp. 52--56, París, France (2018)
    : bibtex : more info : URL
41. Sober-Mira, J.; Calvo-Zaragoza, J.; Rizo, D.; Iñesta, J.M.
    "Pen-Based Music Document Transcription with Convolutional Neural Networks"
    Graphics Recognition. Current Trends and Evolutions, ISBN: 978-3-030-02284-6, pp. 71--80 (2018)
    : bibtex : more info
42. Rizo, D.; Pascual-León, N.; Sapp, C.S.
    "White Mensural Manual Encoding: from Humdrum to MEI"
    Cuadernos de Investigación Musical, pp. 373-393 (2018)
    : bibtex : pdf : more info : Journal URL
43. Calvo-Zaragoza, Jorge; Rizo, David
    "{Camera-PrIMuS}: Neural End-to-End Optical Music Recognition on Realistic Monophonic Scores"
    Proceedings of the 19th International Society of Music Information Retrieval (ISMIR) (2018)
    : bibtex : pdf : more info : Conference URL with PDFs