Marco Amerotti
PhD Researcher · AI & Music · University of Nottingham
I am a PhD student at the Mixed Reality Lab, University of Nottingham, within the UK Turing AI fellowship "Somabotics: Creatively Embodying AI". My research focuses on embodying co-creative musical AI, with particular attention to traditional music practices. Within Somabotics I lead the Traditionable Machines project.
Previously at KTH Royal Institute of Technology (Stockholm), within the ERC project MUSAiC — working on live performance systems, practice-led research, and ethical frictions between traditional communities and AI.
A real-time AI system developed for Irish traditional music performance. Given the score of a tune, LOERIC generates expressive ornamentation, timing and dynamics on the fly — listening and adapting to a human co-musician. LOERIC is designed to be highly configurable, allowing one to precisely customise its performance rules and interactive responses. LOERIC has also been used to perform other styles of music, for example playing continuo in an early music setting.
KSPR: Stochastic Pirate Radio
A fully AI-generated radio station streaming continuously on YouTube — with AI speakers, AI music, AI programs, AI weather and news updates — all with freely available open-source models.
Folktune VAE
A variational autoencoder for Irish traditional dance music — second prize at AMGC'22.
ABALNN
An experiment in agent-based artificial life with neural networks — evolving behaviours without explicit reward shaping.