Rafael Ramirez
ABSTRACT
Learning to play a musical instrument is a difficult task, requiring the development of sophisticated skills. Nowadays, such a learning process is mostly based on the master-apprentice model. Technologies are rarely employed and are usually restricted to audio and video recording and playback. The TELMI (Technology Enhanced Learning of Musical Instrument Performance) Project seeks to design and implement new interaction paradigms for music learning and training based on state-of-the-art multimodal (audio, image, video, and motion) technologies.
The project focuses on the violin as a case study. This practice work is intended as demo, showing to MOCO attendants the results the project obtained along two years of work. The demo simulates a setup at a higher education music institution, where attendants with any level of previous violin experience (and even with no experience at all) are invited to try the technologies themselves, performing basic tests of violin skill and pre-defined exercises under the guidance of the researchers involved in the project.
- Antonio Camurri, Gualtiero Volpe, Stefano Piana, Maurizio Mancini, Radoslaw Niewiadomski, Nicola Ferrari, and Corrado Canepa. 2016. The dancer in the eye: towards a multi-layered computational framework of qualities in movement. In Proceedings of the 3rd International Symposium on Movement and Computing, Thessaloniki, Greece, July 05-06, 2016. 6. Google Scholar
Digital Library
- Sergio Giraldo, Rafael Ramirez, George Waddell, and Aaron Williamon. 2017. A Real-time Feedback Learning Tool to Visualize Sound Quality in Violin Performances. In Proceedings of the 10th International Workshop on Machine Learning and Music, Barcelona, Spain, October 06, 2017. 19--24.Google Scholar
- Gualtiero Volpe, Paolo Alborno, Antonio Camurri, Paolo Coletta, Simone Ghisio, Maurizio Mancini, Radoslaw Niewiadomski, and Stefano Piana. 2016. Designing Multimodal Interactive Systems using EyesWeb XMI. In Proceedings of the First International Workshop on Smart Ecosystems cReation by Visual dEsign co-located with the International Working Conference on Advanced Visual Interfaces (AVI 2016), Bari, Italy, June 07, 2016. 49--56.Google Scholar
Index Terms
- Enhancing Music Learning with Smart Technologies
Recommendations
Automatically measuring biomechanical skills of violin performance: an exploratory study
MOCO '18: Proceedings of the 5th International Conference on Movement and ComputingThis evaluation study explores how automated movement analysis can be used to catch the biomechanical skills needed for a physically accurate violin performance, maximizing efficiency and minimizing injuries. Starting from a previously recorded ...
A multimodal corpus for technology-enhanced learning of violin playing
CHItaly '17: Proceedings of the 12th Biannual Conference on Italian SIGCHI ChapterLearning to play a musical instrument is a difficult task, mostly based on the master-apprentice model. Technologies are rarely employed and are usually restricted to audio and video recording and playback. Nevertheless, multimodal interactive systems ...
Interactive technologies in the instrumental music classroom: A longitudinal study with the Music Paint Machine
Can interactive technologies be useful for music education? This question was empirically investigated during a nine-month longitudinal study in which twelve children (1st and 2nd grade) learnt to play the clarinet. Six children (the intervention group) ...
Comments