ægo is an improvisational piece with interactive sound and image for one performer and a learning machine, co-created with Axel Chemla—Romeu-Santos.

ægo intends to show and share an encounter between a learning machine and a human being to the audience. The learning machine possesses a latent synthesis space, as well as a distinctive musical behaviour, that are both originally unknown to the human being. Through improvisation, the human and the machine will simultaneously learn to interact with each other—on an embodied level for the human, and on a computational level for the machine.

This mutual exploration is designed to be heard, seen, and experienced by the audience. The piece divides in six successive scenes, corresponding to different latent spaces and sonic dimensions learned by the machine. The performer will expressively negotiate control of the synthesis with the machine, by communicating positive or negative feedback using motion sensors placed on both hands. The slowly-evolving spectromorphologies, synthesized and projected in real-time on stage, intends to open a sensitive reflection on what is actually learned on a musical level, both by the human and its artificial alter ego—the machine.

interactive art


The project was developed in collaboration with IRCAM, in the context of the Sorbonne Université Doctorate in Computing.

Performance at CMMR 2019

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