Research in AI Generative Technologies -&/for- Music Creation
Jérôme Nika (PhD),
Researcher, computer music designer, musician, specialized in AI generative technologies for human-machine creative interactions.
As a researcher in the Music Representations Team at Ircam, Jérôme Nika’s work focuses on how to model, learn, and navigate an “artificial musical memory” in creative contexts. In opposition to a “replacement approach” where AI would substitute for human, this research aims at designing novel creative practices involving a certain level of symbolic abstraction such as “interpreting / improvising the intentions” and “composing the narration“.
Numerous artistic productions have used technologies resulting from this research since 2016 (Onassis Center, Athens, Greece; Ars Electronica Festival, Linz, Austria; Frankfurter Positionen festival, Frankfurt; Annenberg Center, Philadelphia, USA; Bimhuis, Amsterdam, Netherlands; Studio 104 de la Maison de la Radio, Grande salle du Centre Pompidou, Collège de France, LeCentquatre, Paris, France; Montreux Jazz festival, etc.).
As a musician, computer music designer, or scientific advisor, he is involved in numerous musical productions and artistic collaborations, particularly in improvised music (Steve Lehman, Orchestre National de Jazz, Bernard Lubat, Benoît Delbecq, Rémi Fox), contemporary music (Pascal Dusapin, Alexandros Markeas, Ensemble Modern, Marta Gentilucci), and contemporary art (Le Fresnoy – Studio National des Arts Contemporains).
Copyright Jérôme Nika – Tous droits réservés