Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS

Researching and Encouraging the Promulgation of European Repertory through Technologies Operating on Records Interrelated Utilising Machines

Project description

Using AI to preserve classical music

The EU-funded REPERTORIUM project is developing AI tools to automatically digitise and catalogue neumatic and classical manuscripts, and preserve and make accessible European musical heritage through sophisticated linked data models and APIs. Moreover, it is creating state-of-the-art (AI and algorithmic) sound processing technologies (e.g. sound source separation, sound field reconstruction, audio-to-score alignment) that will enable real-time low-cost metaverse-ready immersive audio streaming. Its outcomes will revolutionise music scholarship, enhance streaming revenues and empower musicians, including offering on-demand "minus-one" filters for practicing music students. These technologies will form the foundation of a general musical AI that fully unleashes the powers of machine learning upon the domain of European classical music heritage, advancing us towards a human-centred digital world.

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 (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

You need to log in or register to use this function

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

See all projects funded under this funding scheme

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL2-2022-HERITAGE-01

See all projects funded under this call

Coordinator

UNIVERSIDAD DE JAEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 327 937,50
Address
CAMPUS LAS LAGUNILLAS SN EDIFICO B1 VICERRECTORADO DE INVESTIGACION DESAR TECN E INNOVACION
23071 JAEN
Spain

See on map

Region
Sur Andalucía Jaén
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 327 937,50

Participants (10)

Partners (2)

My booklet 0 0