))
Shayan Dadman: A user-centric approach for symbolic music generation.
Manage episode 453726181 series 3567703
Contenu fourni par Universitetet i Agder. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Universitetet i Agder ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
In this episode, we meet Shayan Dadman, a computer scientist and PhD candidate at the University of Tromsø. Shayan's work focuses on developing AI systems that align with individual musical tastes, aiming to foster collaboration between humans and technology. He shares his journey from studying software engineering to creating systems for jazz composition and beyond. We delve into the challenges of building small, personalized models, the role of reinforcement learning in music generation, and the ethical dilemmas surrounding AI-created content.
Shayan Dadman is a computer scientist from Iran who’s now a phd candidate at the University in Tromsø. His goal is to develop an AI system that resonates with individual musical tastes, forming a collaborative and interactive connection with users.
16 episodes
Partager
