Objective
Music, as one of the most preeminent European artforms that has impacted worldwide cultural heritage, has an intrinsic value enriching our lives. However, music manuscripts frequently remain private, unshown, or unexploited because they are only available as printed or handwritten in local archives.
REPERTORIUM aims to: 1) to provide a technological platform for curating databases of mediaeval and classical European art-music works, linked to other relevant existing databases around the world and fed by automated manuscript digitisation and music information retrieval techniques based on Artificial Intelligence (AI); and, 2) leveraging the above technology to create state-of-the-art audio recording and instrument separation technologies (AI-based, stochastic signal processing, and ambisonics spatial audio) targeted at music education institutions (conservatories), professionals (musicians and orchestras) and the public (streaming services).
Combining a novel digitisation tool that leverages AI and Deep Learning solutions to perform Optical Music Recognition and Music Information Retrieval across multiple music datasets opens valuable solutions to problems affecting music businesses while efficiently preserving and rendering accessible European musical heritage. Thus, it is possible to provide cost-effective solutions for immersive streaming and virtual reality experiences by leveraging Sound Source Separation and Spatial Audio technologies.
The consortium includes musicologists (ICCMU, MMMO, UOXF), a musical organisation (AHECG), an orchestra (LNP), and a company focused on early music (ODRATEK). Its members have been previously awarded funding by the EC for RIA projects (TUNI, POLIMI, ICCMU, UOXF), UJA has experience in coordinating H2020 projects. It is composed of a balanced combination of research participants and industrial / commercial partners, from 8 European countries (4 universities, 2 RTOs, 2 NGOs, 1 orchestra and 3 companies in the music sector).
Fields of science
- natural sciencescomputer and information sciencesdatabases
- social sciencespolitical sciencespolitical policiescivil societynongovernmental organizations
- engineering and technologychemical engineeringseparation technologies
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- humanitiesartsmusicology
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
23071 Jaen
Spain
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Participants (9)
1019GM Amsterdam
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20133 Milano
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33100 Tampere
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28040 Madrid
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22307 Hamburg
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28209 San Lorenzo Del Escorial
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03690 Alicante
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01304 Vilnius
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56800 Campeneac
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Partners (2)
SE1 0AS London
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
OX1 2JD Oxford
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