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.
Fields of science
- social scienceseconomics and businessbusiness and managementcommerceeCommerce
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- humanitieslanguages and literaturelinguisticsphonetics
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
Call for proposal
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Funding SchemeRIA - Research and Innovation action
SW7 2BS London
NW11 9RS London