Carlos Hernández Oliván

Carlos Hernández Oliván, a Ph.D. student at the University of Zaragoza, discusses building new models for symbolic music generation. He explores whether these models are truly creative and shares situations where AI-generated music can pass the Turing test. He also highlights essential considerations when constructing models for music composition, including the role of creativity and the comparison between language models and music modeling. The podcast also delves into the potential of collaboration between music theorists, composers, and researchers.