LLMs in Music Composition

In this episode, we are joined by Carlos Hernández Oliván, a Ph.D. student at the University of Zaragoza. Carlos’s interest focuses on building new models for symbolic music generation. Carlos shared his thoughts on whether these models are genuinely creative. He revealed situations where AI-generated music can pass the Turing test. He also shared some essential considerations when constructing models for music composition.

Guest

Carlos Hernández Oliván: "Carlos Hernández Oliván is a PhD candidate at the Universidad de Zaragoza. His interests regard Artificial Intelligence and its applications in the fields of music and audio. He studied viola at the Professional Conservatory of Zaragoza, and he completed his Bachelor’s and Master’s degrees in Industrial Engineering at the University of Zaragoza. During his PhD, he interned at Sony R&D in Tokyo, Japan, and he recently received the Vulcanus grant to intern at NTT CSL in Japan. For discussions about music and audio research, please contact me at carlosholivan@gmail.com"