Collaborative Student Project Martin Daigle & Pauline Patie Collaborative Student Project Martin Daigle & Pauline Patie

Real-time Timbral Analysis for Musical and Visual Augmentation

Our project seeks to explore the capabilities of cutting-edge machine learning (ML) techniques for real-time sound analysis in the context of a new composition. Led by Martin Daigle, Pauline Patie, and Emmanuel Lacopo, the project features software such as Rodrigo Constanzo’s SP-Tools to provide real-time instrumental augmentation for the percussion and guitars. Furthermore, it will be used to control real-time interactive visual projections

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