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Technology Enhanced Learning of Musical Instrument Performance

Total Cost €


EC-Contrib. €






Project "TELMI" data sheet

The following table provides information about the project.


Organization address
address: PLACA DE LA MERCE, 10-12
postcode: 8002

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website
 Total cost 2˙617˙425 €
 EC max contribution 2˙617˙425 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2015
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-02-01   to  2019-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDAD POMPEU FABRA ES (BARCELONA) coordinator 748˙375.00
2    ROYAL COLLEGE OF MUSIC UK (LONDON) participant 608˙175.00
3    HIGHSKILLZ LIMITED UK (LONDON) participant 513˙750.00
4    UNIVERSITA DEGLI STUDI DI GENOVA IT (GENOVA) participant 393˙750.00
5    SAICO INTELLIGENCE S.L. ES (MATARO) participant 353˙375.00


 Project objective

Learning to play a musical instrument is mostly based on the master-apprentice model in which the student’s interaction and socialization is often restricted to short and punctual contact with the teacher followed by long periods of self-study resulting in high abandonment rates. In such a learning model, modern technologies are rarely employed and almost never go beyond audio and video recording. The main aim of the TELMI project is to study how we learn musical instruments, taking the violin as a case study, from a pedagogical and scientific perspective and to create new interactive, assistive, self-learning, augmented-feedback, and social-aware systems complementary to traditional teaching. As a result of a tightly coupled interaction between technical and pedagogical partners, the project will attempt to answer questions such as “How will the musical instrument learning environments be in 5-10 years time?” and “What impact will these new musical environments have in instrument learning as a whole?” The general objectives of the TELMI project are: (1) to design and implement new interaction paradigms for music learning and training based on state-of-the-art multi-modal (audio, image, video and motion) technologies, (2) to evaluate from a pedagogical point of view the effectiveness of such new paradigms, (3) based on the evaluation results, to develop new multi-modal interactive music learning prototypes for student-teacher, student only, and collaborative learning scenarios, and (4) to create a publicly available reference database of multimodal recordings for online learning and social interaction among students. 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 and its benefits accessible to a substantially wider public.


List of deliverables.
User-evaluations of each technology in each scenario completed Documents, reports 2019-06-06 16:22:48
RCM Event Demonstrators, pilots, prototypes 2019-06-06 16:22:32
Final version of TELMI System Platform Demonstrators, pilots, prototypes 2019-06-06 16:22:43
Second version of the data acquisition systems prototypes Demonstrators, pilots, prototypes 2019-06-06 16:22:26
Final feature definition and computation algorithms Documents, reports 2019-06-06 16:22:55
Public Database Demonstrators, pilots, prototypes 2019-06-06 16:23:01
Final platforms of the data acquisition systems Demonstrators, pilots, prototypes 2019-06-06 16:23:27
Final public event Demonstrators, pilots, prototypes 2019-06-06 16:23:06
Start-up public event Websites, patent fillings, videos etc. 2019-05-30 14:08:54
Data Management Plan Open Research Data Pilot 2019-05-30 14:08:54
First version of TELMI System Platform Demonstrators, pilots, prototypes 2019-05-30 14:08:47
First working prototypes of the measuring systems Demonstrators, pilots, prototypes 2019-05-30 14:08:50
Website of the Project Websites, patent fillings, videos etc. 2019-05-30 14:08:47

Take a look to the deliverables list in detail:  detailed list of TELMI deliverables.


year authors and title journal last update
List of publications.
2018 M. Beardsley, D. Hernández-Leo, R. Ramirez-Melendez
Seeking reproducibility: Assessing a multimodal study of the testing effect
published pages: 378-386, ISSN: 0266-4909, DOI: 10.1111/jcal.12265
Journal of Computer Assisted Learning 34/4 2019-10-09
2018 Rafael Ramirez, Josep Planas, Nuria Escude, Jordi Mercade, Cristina Farriols
EEG-Based Analysis of the Emotional Effect of Music Therapy on Palliative Care Cancer Patients
published pages: , ISSN: 1664-1078, DOI: 10.3389/fpsyg.2018.00254
Frontiers in Psychology 9 2019-10-09
2019 Sergio Giraldo, George Waddell, Ignasi Nou, Ariadna Ortega, Oscar Mayor, Alfonso Perez, Aaron Williamon, Rafael Ramirez
Automatic Assessment of Tone Quality in Violin Music Performance
published pages: 334, ISSN: 1664-1078, DOI: 10.3389/fpsyg.2019.00334
Frontiers in Psychology 10 2019-10-09
2018 Matteo Lionello, Rafael Ramirez
A Machine Learning Approach to Classification of Phonation Modes in Singing.
published pages: , ISSN: , DOI:
2019 Angel David Blanco, Rafael Ramirez
Evaluation of a Sound Quality Visual Feedback System for Bow Learning Technique in Violin Beginners: An EEG Study
published pages: , ISSN: 1664-1078, DOI: 10.3389/fpsyg.2019.00165
Frontiers in Psychology 10 2019-10-09
2016 José M. Iñesta, Darrell Conklin, Rafael Ramírez
Machine learning and music generation
published pages: 87-91, ISSN: 1745-9737, DOI: 10.1080/17459737.2016.1216369
Journal of Mathematics and Music 10/2 2019-10-09
2017 Sergio Giraldo; Rafael Ramirez; George Waddell; Aaron Williamon
A realtime feedback learning tool to visualize sound quality in violin performances
published pages: , ISSN: , DOI: 10.5281/zenodo.2580053
4 2019-10-09
2017 Sergio Giraldo; Rafael Ramirez; George Waddell; Aaron Williamon
A computational approach for measuring performance quality in violin tones
published pages: , ISSN: , DOI: 10.5281/zenodo.2579194
Abstracts of the International Symposium in Performance Science (ISPS 2017), Reijavik, Iceland. 4 2019-10-09
2015 Rafael Ramirez, Manel Palencia-Lefler, Sergio Giraldo, Zacharias Vamvakousis
Musical neurofeedback for treating depression in elderly people
published pages: , ISSN: 1662-453X, DOI: 10.3389/fnins.2015.00354
Frontiers in Neuroscience 9 2019-10-09
2018 Furkan Yesiler, Rafael Ramirez
Detection and Regression of Violin Vibrato from Scores and Mobile Devices Rendering for Didactic Purposes
published pages: , ISSN: , DOI:
Proceedings of the Sound and Music Computing Conference 2019-10-09
2016 Katerina Kosta, Rafael Ramírez, Oscar F. Bandtlow, Elaine Chew
Mapping between dynamic markings and performed loudness: a machine learning approach
published pages: 149-172, ISSN: 1745-9737, DOI: 10.1080/17459737.2016.1193237
Journal of Mathematics and Music 10/2 2019-10-09
2018 Sergio Giraldo; Rafael Ramirez; George Waddell; Aaron Williamon
Computational modelling of timbre dimensions for automatic violin tone quality assessment
published pages: , ISSN: , DOI: 10.5281/zenodo.2579163
Proceedings of the 2018 TIMBRE is a many splendored thing Conference, Montreal, Canada. 2 2019-10-09
2017 Pablo Fernandez Blanco, Alfonso Perez-Carrillo, Mario Ceresa
Acquisition of Human Body Kinematic and Dynamic Features in Violin Performances with Kinect
published pages: , ISSN: , DOI:
First International Workshop on Motor Learning For Music Performance 1, 2017 2019-06-18
2016 Sergio I. Giraldo, Rafael Ramirez
A Machine Learning Approach to Discover Rules for Expressive Performance Actions in Jazz Guitar Music
published pages: , ISSN: 1664-1078, DOI: 10.3389/fpsyg.2016.01965
Frontiers in Psychology 7 2019-06-18
2016 Iñigo Angulo Ortegui, Sergio Giraldo, Rafael Ramirez
published pages: , ISSN: , DOI:
Second International Conference on Technologies for Music Notation and Representation 27-29 May 2016 2019-06-18
2017 Esteban Maestre, Panagiotis Papiotis, Marco Marchini, Quim Llimona, Oscar Mayor, Alfonso Perez, Marcelo M. Wanderley
Enriched Multimodal Representations of Music Performances: Online Access and Visualization
published pages: 24-34, ISSN: 1070-986X, DOI: 10.1109/MMUL.2017.3
IEEE MultiMedia 24/1 2019-06-18
2016 Helena Bantula, Sergio Giraldo and Rafael Ramirez
published pages: , ISSN: , DOI:
17th International Society for Music Information Retrieval Conference, 2016. Ago 12, 2016 2019-06-18
2016 Sergio Giraldo and Rafael Ramirez
A Genetic Approach for Evaluation of Computational Models for Expressive Music Performance in Jazz Guitar
published pages: , ISSN: , DOI:
9th International Workshop on Machine Learning September 23, 2016 2019-06-18
2017 Alfonso Perez-Carrillo
Statistical models for the indirect acquisition of violin bowing controls from audio analysis
published pages: 35003, ISSN: , DOI: 10.1121/2.0000402
Proceedings of Meetings on Acoustics 29, 2017 2019-06-18
2016 Sergio Giraldo, Rafael Ramírez
A machine learning approach to ornamentation modeling and synthesis in jazz guitar
published pages: 107-126, ISSN: 1745-9737, DOI: 10.1080/17459737.2016.1207814
Journal of Mathematics and Music 10/2 2019-06-18
2016 Bantula, Helena; Giraldo, Sergio Iván; Ramírez, Rafael,1966-
Jazz ensemble expressive performance modeling
published pages: , ISSN: , DOI: 10.5281/zenodo.1415876
1 2019-05-22
2016 Zacharias Vamvakousis, Rafael Ramirez
The EyeHarp: A Gaze-Controlled Digital Musical Instrument
published pages: , ISSN: 1664-1078, DOI: 10.3389/fpsyg.2016.00906
Frontiers in Psychology 7 2019-05-22
2017 Fabio J. M. Ortega, Sergio I. Giraldo, Rafael Ramirez
Phrase-Level Modeling of Expression in Violin Performances
published pages: , ISSN: , DOI:
10th International Workshop on Machine Learning and Music 2019-04-16
2019 Radoslaw Niewiadomski, Ksenia Kolykhalova, Stefano Piana, Paolo Alborno, Gualtiero Volpe, Antonio Camurri
Analysis of Movement Quality in Full-Body Physical Activities
published pages: 1-20, ISSN: 2160-6455, DOI: 10.1145/3132369
ACM Transactions on Interactive Intelligent Systems 9/1 2019-04-16
2017 A. Perez-Carrillo, H. Purwins
Estimation of violin bowing features from Audio recordings with Convolutional Networks
published pages: , ISSN: , DOI:
Conference and Workshop on Neural Information Processing Systems (NIPS) 2019-04-16
2018 Zacharias Vamvakousis; Alfonso Perez Carrillo; Rafael Ramirez
Acquisition of Violin Instrumental Gestures Using an Infrared Depth Camera
published pages: , ISSN: , DOI: 10.5281/zenodo.1422548
Proceedings of the 15th Sound and Music Computing Conference (SMC2018), Limassol, Cyprus, 4-7 July 2019-04-16
2017 E. Volta, P. Alborno, and G. Volpe
Informing bowing and violin learning using movement analysis and machine learning
published pages: , ISSN: , DOI: 10.13140/rg.2.2.24907.49443
Proceedings of the 10th International Workshop on Machine Learning and Music 2019-04-16
2017 Angel David Blanco; Rafael Ramirez
Neural Correlates of Bow Learning Technique
published pages: , ISSN: , DOI:
10th International Workshop on Machine Learning and Music 2019-04-16
2019 David Dalmazzo, Rafael Ramírez
Bowing Gestures Classification in Violin Performance: A Machine Learning Approach
published pages: , ISSN: 1664-1078, DOI: 10.3389/fpsyg.2019.00344
Frontiers in Psychology 10 2019-04-16

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