Explore the words cloud of the TELMI project. It provides you a very rough idea of what is the project "TELMI" about.
The following table provides information about the project.
Coordinator |
UNIVERSIDAD POMPEU FABRA
Organization address contact info |
Coordinator Country | Spain [ES] |
Project website | http://telmi.upf.edu/ |
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.
# | ||||
---|---|---|---|---|
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 |
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.
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 |
---|---|---|---|
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: |
2019-10-09 | |
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 RamÃrez 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 RamÃrez, 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 HEXAPHONIC GUITAR TRANSCRIPTION AND VISUALISATION 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 JAZZ ENSEMBLE EXPRESSIVE PERFORMANCE MODELING 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 RamÃrez 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; RamÃrez, 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 RamÃrez 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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