REPERTORIUM uses AI to digitise ancient and classical manuscripts, preserve European musical heritage, and create state-of-the-art sound processing technologies, including metaverse-ready immersive audio.
These technologies are the foundation of a general musical artificial intelligence that fully unleashes the powers of machine learning upon the domain of European classical heritage, advancing us towards a human-centred digital world.
Digitising ancient manuscripts from the Solesmes archive for musicological study, recordings, and creating databases for medieval and classical works.
Combining multimodal artificial intelligence and deep learning solutions to perform optical music recognition and music information retrieval across multiple music datasets through sophisticated Linked Data models.
Using AI and DL for state-of-the-art instrument sound source separation and real-time sound field reconstruction.
Testing immersive technologies through streamed symphonic concerts.
Revolutionising music scholarship, enhancing streaming revenues, and empowering music students to create minus-one versions of their favourite recordings.
The Future from our Past
Researching and Encouraging the Promulgation of European Repertory through Technologies Operating on Records Interrelated Utilising Machines
Please write us to learn more about facilitating your musicological research with Repertorium or about the sound separation and sound-field reconstruction technologies under development, or with any other questions about the project.