ægo

Hugo Scurto, Axel Chemla–Romeu-Santos, 2019—2022
performance, generative AI, motion capture, sound, video

ægo is a performance that stages one person and one AI that learn to improvise in music. The machine uncertainly explores a spectral latent space, while the person communicates positive or negative preferences, turning their hands front or back. Engaged in deep listening, the person progressively loses the ego of teaching AI their preferences, thus learning to embody their music.

Year
2019—2022

Credits
ægo results from a research-creation project led with two deep learning models: VSChaos and Co-Explorer. The project was developed in collaboration with the ISMM and ACIDS groups of IRCAM, in the context of a PhD thesis at Sorbonne Université.

Events
Performance @ Cirque Électrique, Paris, Fr (Nov.05.2022)
Performance @ Friche La Belle de Mai, Marseille, Fr (Oct.16.2019)
Music program at CMMR 2019
Performance @ Conservatoire Pierre Barbizet, Marseille, Fr (May.09.2022)
Music program at TENOR 2022