Sony Computer Science Laboratories (Sony CSL) promotes "extreme thinking" and 逆張り (contrary and risky bets), a philosophy I sincerely align with. Some researchers must take the risk of questioning foundational principles in their fields, even if it means diverging from prevailing trends and, as a result, risking marginalization.
My specialty is music. The scientific and academic communities' perception of it needs redefinition. Our current understanding is rooted in 18th-century Western frameworks. It is ill-equipped to address the diverse elements of contemporary musical language and unsuited to the challenges posed by technological evolution. It is difficult to imagine better futures if we do not understand the present.
The scientific community struggles to define favorable outcomes for music amid the deep-learning revolution. Generative A.I. presents both engineering and artistic challenges, with plausible music generation being only a starting point. Yet, expertise remains heavily skewed toward technological development. Technology should be seen as a means, not an end. Art is more than a proof of concept for machine learning models.
Selected Publications
Deruty, Emmanuel, Maarten Grachten, Stefan Lattner, Javier Nistal, and Cyran Aouameur. "On the development and practice of AI technology for contemporary popular music production." Transactions of the International Society for Music Information Retrieval 5, no. 1 (2022): 35-50.
