Tristan is a PhD student within the ACIDS team.
The aim of his project is to develop a software that interacts in real-time with a musician by inferring expected structures (e.g. chord progression).
In order to achieve this goal, we divide the project into two main tasks: a listening module and a symbolic generation module.
The listening module extracts the musical structure played by the musician whereas the generative module predicts musical sequences based on the extracted features.
He likes good music along with a fresh glass of pastis.