Gerard Assayag

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REACH at Le Mans Sonore

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Apprentissage machine, incarnation et co-improvisation homme-machine.Conférence-concert de Marco Fiorini et Pierre Saint-Germier – REACH, Laboratoire STMS (IRCAM, CNRS, Sorbonne-Université)  La plupart des IA musicales qui génèrent de la musique à partir de règles ou de modèles statistiques semblent manquer la dimension corporelle de la musicalité humaine. Si l’on prend au sérieux l’importance du corps dans […]
Conferences Publications

Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation

Gerard Assayag

Yusong Wu, K. Chen, T. Zhang, Y. Hui, T. Berg-Kirkpatrick and S. Dubnov, « Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation, » ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095969. Full publication Abstract: Contrastive learning has shown remarkable success in the […]
Conferences Publications Research

Being the Artificial Player: Good Practices in Collective Human-Machine Music Improvisation

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Article by Marco Fiorini (STMS – IRCAM, Sorbonne Université, CNRS) has been accepted for the 13th EAI International Conference: ArtsIT, Interactivity & Game Creation at New York University in Abu Dhabi, United Arab Emirates Read the full paper Abstract: This essay explores the use of generative AI systems in cocreativity within musical improvisation, offering best practices for […]

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