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Project: Technologies for interactive music learning /Tecnologías interactivas para el aprendizaje de música

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

Project Co-ordinator: Iñesta Quereda, José Manuel
Funding: Ministerio de Economía y Competitividad
Reference: TIN2013-48152-C2-1-R
Budget: 101.250 €
Period: from 2014-09-01 to 2017-12-31
Web: http://grfia.dlsi.ua.es/cm/projects/timul/index.html
Summary:

The main aim of the project is to study how we learn music performance from a pedagogical and scientific perspective and to create new assistive, multimodal, interactive, and social-aware systems complementary to traditional teaching. The general objectives of the project are: (1) to design and implement new multi-modal interaction paradigms for music learning and training based on state-of-the-art audio processing, music analysis and pattern recognition techniques, (2) to evaluate from a pedagogical point of view the effectiveness of such new paradigms, (3) based on the evaluation results, to develop new multimodal interactive music learning prototypes for student-teacher, student only, and collaborative learning scenarios, and (4) to create a publicly available reference database of music recordings with multimodal information for cooperative learning. The results of the project will serve as a basis for the development of next generation music learning systems, thereby improving on current student-teacher interaction, student-only practice, and furthermore providing the potential to make music education accessible to a substantially wider public.

• Calera Rubio, Jorge
• Calvo Zaragoza, Jorge
• Gallego Sánchez, Antonio Javier
• Hontanilla Alfonso, María Concepción
• Illescas Casanova, Plácido
• Iñesta Quereda, José Manuel
• Micó Andrés, María Luisa
• Oncina Carratalá, Jose
• Pérez Sancho, Carlos
• Pertusa Ibáñez, Antonio Jorge
• Ponce de León Amador, Pedro José
• Ramírez, Rafael
• Rico Juan, Juan Ramón
• Rizo Valero, David
• Valero Más, José Javier

1. Gallego, A.J., Calvo-Zaragoza, J.; Valero-Mas, J.J.; Rico-Juan, J.R.
   "Clustering-based k-nearest neighbor classification for large-scale data with neural codes representation"
   Pattern Recognition, vol. 74, pp. 531-543 (2018)
   : bibtex : more info
2. Iñesta, J.M.; Conklin, D.; Ramirez, R.; M. Fiore, T.M.
   "Machine Learning and Music Generation"
   Thomas M. Fiore (Eds.) Routledge, Taylor & Francis, , ISBN: 978-0-8153-7720-7 (2018)
   : bibtex : more info
3. Pertusa, A; Gallego, A.-J; Bernabeu, M.
   "MirBot: A collaborative object recognition system for smartphones using convolutional neural networks"
   Neurocomputing, vol. 293, pp. 87-99 (2018)
   : bibtex : more info : Preprint : URL
4. Calvo-Zaragoza, J.; Vigliensoni, G.; Fujinaga, I.
   "A machine learning framework for the categorization of elements in images of musical documents"
   Proceedings of the Third International Conference on Technologies for Music Notation and Representation (2017)
   : bibtex : pdf : more info
5. Valero-Mas, J. J.; Calvo-Zaragoza, J.; Rico-Juan, J. R.; Iñesta, J. M.
   "A study of Prototype Selection algorithms for Nearest Neighbour in class-imbalanced problems"
   Proceedings of the 8th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), ISBN: 978-3-319-58837-7, pp. 335--343, Faro, Portugal (2017)
   : bibtex : pdf : more info
6. Rizo, D.; Calvo-Zaragoza, J.; Iñesta, J.M.; Fujinaga, I.
   "About agnostic representation of musical documents for Optical Music Recognition"
   Music Encoding Conference, Tours, 2017 (2017)
   : bibtex : more info : Conference URL
7. Calvo-Zaragoza, J.; Oncina, J.
   "An efficient approach for Interactive Sequential Pattern Recognition"
   Pattern Recognition, vol. 64, pp. 295-304 (2017)
   : bibtex : pdf : more info : DOI
8. Valero-Mas, J.J.; Calvo-Zaragoza, J.; Rico-Juan, J.R.; Iñesta, J.M.
   "An Experimental Study on Rank Methods for Prototype Selection"
   Soft Computing, vol. 21, pp. 5703-–5715 (2017)
   : bibtex : pdf : more info : DOI
9. Valero-Mas, J. J.; Benetos, E.; Iñesta, J. M.
   "Assessing the Relevance of Onset Information for Note Tracking in Piano Music Transcription"
   Proceedings of the AES International Conference on Semantic Audio, Eerlangen (2017)
   : bibtex : pdf : more info : URL
10. 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
11. Valero-Mas, J. J.; Iñesta, J. M.
    "Interactive User Correction of Automatically Detected Onsets: Approach and Evaluation"
    EURASIP Journal on Audio, Speech, and Music Processing (2017)
    : bibtex : pdf : more info : : Web page
12. Hontanilla, M.; Pérez-Sancho, C.; Iñesta, J.M.
    "Music style recognition with language models -- beyond statistical results"
    Proceedings of MML 2017, pp. 31--36, Barcelona (2017)
    : bibtex : pdf : more info
13. Sober-Mira, J.; Calvo-Zaragoza, J.; Rizo, D.; Iñesta, J.M.
    "Pen-based music document transcription"
    Proceedings of GREC 2017, ISBN: 978-1-5386-3586-5, pp. 21--22, Kyoto (Japan) (2017)
    : bibtex : pdf : more info : URL
14. Calvo-Zaragoza, J.; Vigliensoni, G.; Fujinaga, I.
    "Pixel-wise Binarization of Musical Documents with Convolutional Neural Networks"
    Proceedings of the 15th IAPR International Conference on Machine Vision Applications (2017)
    : bibtex : pdf : more info
15. 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
16. Calvo-Zaragoza, J.; Oncina, J.
    "Recognition of Pen-based Music Notation with Finite-State Machines"
    Expert Systems With Applications, vol. 72, pp. 395-406 (2017)
    : bibtex : pdf : more info : DOI
17. Bernabeu, J.F.
    "Similarity Learning and Stochastic Language Models for Tree-Represented Music"
    PhD Thesis. Supervisors: Iñesta, José M.; Calera-Rubio, J.
    University of Alicante (2017)
    : bibtex : pdf : more info
18. Calvo-Zaragoza, J.: Pertusa, A.; Oncina, J.
    "Staff-line detection and removal using a convolutional neural network"
    Machine Vision and Applications, pp. 1-10 (2017)
    : bibtex : more info : URL
19. Gallego, Antonio-Javier; Calvo-Zaragoza, Jorge
    "Staff-line removal with Selectional Auto-Encoders"
    Expert Systems With Applications, vol. 89, pp. 138 - 148 (2017)
    : bibtex : pdf : more info
20. Jose J. Valero-Mas
    "Towards Interactive Multimodal Music Transcription"
    PhD Thesis. Supervisors: José M. Iñesta
    University of Alicante (2017)
    : bibtex : pdf : more info
21. Rizo, D.; Marsden, A.
    "A standard format proposal for hierarchical analyses and representations"
    Proceedings of the 3rd International Workshop on Digital Libraries for Musicology, ISBN: 978-1-4503-4751-8, pp. 25--32, New York, USA (2016)
    : bibtex : more info : URL
22. Plácido R. Illescas
    "Análisis tonal asistido por ordenador"
    PhD Thesis. Supervisors: David Rizo, José M. Iñesta
    Universidad de Alicante, Alicante (2016)
    : bibtex : pdf : more info
23. Valero-Mas, J.J.; Benetos, E.; Iñesta, J.M.
    "Classification-based Note Tracking for Automatic Music Transcription"
    Proceedings of the 9th Machine Learning and Music Workshop (MML2016), pp. 61--65, Riva del Garda, Italy (2016)
    : bibtex : pdf : more info
24. Calvo-Zaragoza, J.; Oncina, J.; De la Higuera, C.
    "Computing the Expected Edit Distance from a String to a PFA"
    21st International Conference Implementation and Application of Automata, pp. 39-50 (2016)
    : bibtex : pdf : more info
25. Ponce de León, P.J., Iñesta, J.M., Calvo-Zaragoza, J., Rizo, D.
    "Data-based melody generation through multi-objective evolutionary computation"
    Journal of Mathematics and Music, vol. 10, pp. 173-192 (2016)
    : bibtex : pdf : more info : DOI : Journal URL : Online Supplement
26. Calvo-Zaragoza, J.; Toselli, A. H.; Vidal, E.
    "Early Handwritten Music Recognition with Hidden Markov Models"
    15th International Conference on Frontiers in Handwriting Recognition (2016)
    : bibtex : pdf : more info
27. Rizo, D.; Calvo-Zaragoza, J.; Iñesta, J.M.; Illescas, P.R.
    "Hidden Markov Models for Functional Analysis"
    Music and Machine Learning Workshop, Riva del Garda (2016)
    : bibtex : more info : Workshop URL
28. Bernabeu, M.; Pertusa, A.; Gallego, A.J.
    "Image spatial verification using Segment Intersection of Interest Points"
    Proc. of the 24 Int. Conf. in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), ISBN: 2464-4614 (2016)
    : bibtex : pdf : more info
29. Rizo, D; Illescas, P.R; Iñesta, J.M.
    "Interactive melodic analysis"
    Computational Music Analysis, ISBN: 978-3-319-25931-4, pp. 191-219 (2016)
    : bibtex : pdf : more info : URL
30. Bellet, A; Bernabeu, J.F.; Habrard, A.; Sebban, M
    "Learning discriminative tree edit similarities for linear classification - Application to melody recognition"
    Neurocomputing, vol. 214, pp. 155-161 (2016)
    : bibtex : pdf : more info : DOI
31. Calvo-Zaragoza, J.; Micó, L.; Oncina, J.
    "Music staff removal with supervised pixel classification"
    International Journal on Document Analysis and Recognition, vol. 19, pp. 211-219 (2016)
    : bibtex : pdf : more info : DOI
32. Valero-Mas, J.J.; Calvo-Zaragoza, J.; Rico-Juan, J.R.
    "On the suitability of Prototype Selection methods for kNN classification with distributed data"
    Neurocomputing, vol. 203, pp. 150-160 (2016)
    : bibtex : pdf : more info : DOI
33. Calvo-Zaragoza, J.; Valero-Mas, J.J.; Rico-Juan, J.R.
    "Prototype Generation on Structural Data using Dissimilarity Space Representation"
    Neural Computing and Applications (2016)
    : bibtex : pdf : more info : DOI
34. Calvo-Zaragoza, J.; Valero-Mas, J.J.; Rico-Juan, J.R.
    "Selecting promising classes from generated data for an efficient multi-class NN classification"
    Soft Computing (2016)
    : bibtex : pdf : more info : DOI
35. Bosch, V.; Calvo-Zaragoza, J.; Toselli, A. H.; Vidal, E.
    "Sheet Music Statistical Layout Analysis"
    15th International Conference on Frontiers in Handwriting Recognition (2016)
    : bibtex : pdf : more info
36. Calvo-Zaragoza, J.; Rizo, D.; Iñesta, J.M.
    "Two (note) heads are better than one: pen-based multimodal interaction with music scores"
    17th International Society for Music Information Retrieval Conference, ISBN: 978-0-692-75506-8, pp. 509-514, New York City (2016)
    : bibtex : pdf : more info : Conference URL
37. Rizo, D.; Iñesta, J.M
    "A grammar for Plaine and Easie Code"
    Proceedings of the Music Encoding Initiative Conferences 2013 and 2014, pp. 54--64 (2015)
    : bibtex : more info : Conference program : URL
38. Valero-Mas, J.J.; Salamon, J.; Gómez, E.
    "Analyzing the influence of pitch quantization and note segmentation on singing voice alignment in the context of audio-based Query-by-Humming"
    Proceedings of the 12th Sound and Music Computing Conference (SMC), ISBN: 9--7809--92746629 , pp. 371--378, Maynooth, Ireland (2015)
    : bibtex : pdf : more info
39. Calvo-Zaragoza, J.; Barbancho, I; Tardón, L. J. ; Barbancho A. M.
    "Avoiding staff removal stage in optical music recognition: application to scores written in white mensural notation"
    Pattern Analysis and Applications, vol. 18, pp. 933-943 (2015)
    : bibtex : pdf : more info : DOI
40. Calvo-Zaragoza, J.; Oncina, J.
    "Clustering of Strokes from Pen-based Music Notation: An Experimental Study"
    7th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), ISBN: 978-3-319-19389-2, pp. 633-640, Santiago de Compostela, Spain (2015)
    : bibtex : pdf : more info
41. J.M. Iñesta, P.J. Ponce de León, J. Calvo-Zaragoza, and D. Rizo
    "Genre-based melody generation through multi-objective genetic algorithms"
    Proceedings of the 8th Machine Learning and Music workshop (MML 2015), Vancouver (Canada) (2015)
    : bibtex : more info : Workshop URL
42. Rico-Juan, J. R; Calvo-Zaragoza, Jorge
    "Improving classification using a Confidence Matrix based on weak classifiers applied to OCR"
    Neurocomputing, vol. 151, pp. 1354–1361 (2015)
    : bibtex : pdf : more info : DOI
43. Calvo-Zaragoza, J; Valero-Mas, J. J.; Rico-Juan, J. R
    "Improving kNN multi-label classification in Prototype Selection scenarios using class proposals"
    Pattern Recognition, vol. 48, pp. 1608-1622 (2015)
    : bibtex : pdf : more info : DOI
44. Valero-Mas, J.J.; Iñesta, J.M.
    "Interactive onset detection in audio recordings"
    Late Breaking/Demo extended abstract, 16th International Society for Music Information Retrieval Conference (ISMIR), Málaga, Spain (2015)
    : bibtex : pdf : more info
45. Calvo-Zaragoza, J.; Valero-Mas, J.J.; Rico-Juan, J.R.
    "Prototype Generation on Structural Data using Dissimilarity Space Representation: A Case of Study"
    7th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), ISBN: 978-3-319-19389-2, pp. 72-82, Santiago de Compostela, Spain (2015)
    : bibtex : pdf : more info
46. Micó, L.; Sanches, J.; Cardoso, J.
    "The vitality of pattern recognition and image analysis"
    Neurocomputing, vol. 150, pp. 124-125 (2015)
    : bibtex : more info
47. Micó, L.; Oncina, J.
    "Dynamic Insertions in TLAESA fast NN Search Algorithm"
    Proceedings of the 22nd International Conference on Pattern Recognition, ICPR, ISBN: 978-1-4799-5208-3, Stockholm, Sweden (2014)
    : bibtex : pdf : more info
48. Illescas, P.R.; Rizo, D.; Iñesta, J.M.
    "Melodic analysis of polyphonic music using an interactive pattern recognition tool"
    Proc. of 7th Machine Learning and Music (MML2014), Barcelona (2014)
    : bibtex : more info : Workshop URL
49. Valero-Mas, J.J.; Iñesta, J.M.; Pérez-Sancho, C.
    "Onset detection with the user in the learning loop"
    Proceedings of the 7th International Workshop on Music and Machine Learning (MML2014), Barcelona, Spain (2014)
    : bibtex : pdf : more info
50. Calvo-Zaragoza, J.; Oncina, J.
    "Recognition of Pen-based Music Notation with Probabilistic Machines"
    Proceedings of the 7th International Workshop on Machine Learning and Music , Barcelona, Spain (2014)
    : bibtex : more info