Restoring Music Recordings Using Generative Models (REMUS)

Description of the granted funding

The REMUS project aims to enhance historical music recordings using advanced generative models. Imagine hearing century-old musical treasures with the clarity and richness of today's high-quality audio - that's our goal. Utilizing state-of-the-art generative models, grounded in deep neural networks, our initiative will not only remove hiss and crackles from old records but will also restore lost high-frequency sounds and repair damage such as scratches and fade-outs on gramophone and vinyl records. This four-year journey will blend technology with cultural heritage, democratizing audio restoration, offering new tools to musicologists, and preserving our musical past for future generations. The REMUS project is more than just a technological feat; it is about forging a bridge between the past and the present, ensuring historical music will resonate with today's audiences.
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Starting year

2025

End year

2029

Granted funding

Vesa Välimäki Orcid -palvelun logo
479 739 €

Funder

Research Council of Finland

Funding instrument

Academy projects

Decision maker

Scientific Council for Social Sciences and Humanities
17.06.2025

Other information

Funding decision number

371845

Research fields

Musiikintutkimus

Identified topics

music, performing arts