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Shayan Dadman: A user-centric approach for symbolic music generation.
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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.
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