Research

My research focuses on live music performance systems and their evaluation (see LOERIC), practice-led research methodologies, ethical issues and frictions between traditional communities and AI, and artificial entertainment (see KSPR).

I am based in Stockholm at KTH Royal Institute of Technology within the MUSAiC ERC project.

  • Benford, S., Amerotti, M., Sturm, B., Vear, C. “Performing with AI as a Practice-led Methodology for AI Music”. Presentation and performance at AIMS’24, the International Conference on AI Music Studies, 2024.
  • Benford, S., Amerotti, M., Sturm, B., Martinez Avila, J. “Negotiating Autonomy and Trust when Performing with an AI Musician”. Proceedings from TAS’24, the International Symposium on Trustworthy Autonomous Systems, 2024.
  • Sturm, B., Amerotti, M., Dalmazzo, D., Cros Vila, L., Casini, L., Kanhov, E. “Stochastic Pirate Radio (KSPR): Generative AI applied to simulate community radio”. Proceedings from AIMC’24, the International Conference on AI and Musical Creativity, 2024.
  • Amerotti, M., Sturm, B., Benford, S., Maruri-Aguilar H., Vear, C. “Evaluation of an Interactive Music Performance System in the Context of Irish Traditional Dance Music”. Proceedings from NIME’24, the International Conference on New Interfaces for Musical Expression, 2024.
  • Amerotti, M., Benford, S., Sturm, B., Vear, C. “A Live Performance Rule System arising from Irish Traditional Dance Music”. Proceedings from CMMR’23, the 16th International Symposium on Computer Music Multidisciplinary Research, 2023.
Music
Releases

Exitium

Dubstep

Il Rappresentante

Soundtrack

Symposium

Soundtrack

EDMF Vol. 1

EDM

Iliad VI

Soundtrack

Projects
LOERIC
A real-time, interactive performance system for Irish traditional dance music.
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.
KSPR: Stochastic Pirate Radio
A completely AI-generated infinite radio station, streaming continuously on YouTube.