Registration open for the FluCoMa Workshop Summer 2024
During the 2021-2022 academic year I served as a postdoctoral Research Fellow in Creative Coding at the University of Huddersfield CeReNeM working on the project Fluid Corpus Manipulation (“FluCoMa”).
FluCoMa enables techno-fluent musicians to integrate machine listening and machine learning in their creative practice within Max, SuperCollider, and Pure Data. The toolkit offers tools to separate audio into component parts including slicers and spectral decomposition algorithms, audio analysis tools to describe audio components as analytical and statistical representations, data analysis and machine learning algorithms for pattern detection and expressive dataset browsing, and audio morphing and hybridization algorithms for audio remixing, interpolating, and variation-making.