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1'30 with Sarah Nabi, Doctoral Student
Sarah Nabi presents her thesis: "Adaptive representation learning for the gestural control of deep audio generative models", carried out within the Sound-Music-Movement Interaction and the Sound Analysis-Synthesis teams at the STMS laboratory (IRCAM - Sorbonne University - CNRS - Ministry.
August 2026
Solid Light Works: Four Student Perspectives on Anthony McCall’s Work
A Research/Creation Project led by IRCAM and students from Paris 8 University.
Interviews
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Our concerts available online for one year
Watch videos of our 2025–26 concert season, as well as highlights from the ManiFeste-2026 festival. Put on your headphones to (re)experience these concerts and performances in binaural sound!
Thematic Series
8 articles
Artistic research
Follow the projects of artists in residence at IRCAM. A series of articles exploring collaborations between researchers and artists.
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Restoring Music’s Experimental and Forward-Looking Role
IRCAM launches new working groups for artistic research
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Jérôme Sueur – Inside the Rainforest 2/2
Sébastien Gaxie’s artistic research residency, which focuses on the sounds of the Amazonian forest, simply wouldn’t exist without him. Let’s meet with ecoacoustician and biodiversity specialist Jérôme Sueur, who was a crucial catalyst for this project–a project that could, in turn, provide his team at the Muséum national d’Histoire naturelle with new tools to explore.
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10 articles
1'30 in Stravinsky
One minute and thirty seconds to discover the projects of those who contribute to the scientific and creative life of IRCAM: doctoral students in the STMS lab.
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1'30 with Sarah Nabi, Doctoral Student
Sarah Nabi presents her thesis: "Adaptive representation learning for the gestural control of deep audio generative models", carried out within the Sound-Music-Movement Interaction and the Sound Analysis-Synthesis teams at the STMS laboratory (IRCAM - Sorbonne University - CNRS - Ministry.
Discover
1'30 with Ninon Devis Salvy, Doctoral Student
Ninon Devis Salvy presents her thesis: "Creative Deep Learning on Real Time Embedded Architecture", carried out within the Sound Analysis-Synthesis team in the STMS laboratory (IRCAM/Sorbonne University/CNRS/Ministry of Culture).
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