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REPERTORIUM

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Researching and Encouraging the Promulgation of European Repertory through Techn...

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

31/12/2025

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2M€

Presupuesto del proyecto: 2M€

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Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-12-06

HORIZON-CL2-2022-HERITAGE-01-03: The role of perceptions, formed by... Expected Outcome:Projects should contribute to all of the following expected outcomes:

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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Duración del proyecto: 36 meses Fecha Inicio: 2022-12-06
Fecha Fin: 2025-12-31

Líder del proyecto Líder desconocido

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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).

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