Presentation on Physics-Informed Neural Networks for Sound Processing

Picture of Repertorium Editorial Team
Repertorium Editorial Team
- 9 months ago

Mirco Pezzoli and Fabio Antonacci presented their paper Implicit Neural Representation with Physics-Informed Neural Networks for the Reconstruction of the Early Part of Room Impulse Responses at the 10th Convention of the European Acoustics Association in Turin, Italy, which ran from the 11th – 15th September 2023 at the Politecnico di Torino.

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The Project

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.