Masatoshi Hamanaka

Masatoshi Hamanaka is a Research Fellow at RIKEN's Center for Advanced Intelligence Project, leading the Music Information Intelligence team. His work bridges interdisciplinary domains including music technology, biomedical applications, and robotics.

• Ph.D. from University of Tsukuba (2003)

Research Interests focus on computational music analysis, with recent work applying transformer models to automate time-span tree analysis from the Generative Theory of Tonal Music. His interests extend to biomedical applications and unmanned aircraft systems, reflecting a multidisciplinary approach to AI and signal processing.

Scientific Contributions include breakthroughs in melodic morphing automation and deep learning methodologies for music structure analysis. His 2023 work introduces a total-order priority system for time-span tree branches, enabling automated reductions in musical sequences.

• Journal of New Music Research Distinguished Paper Award (2005)
• SIGGRAPH2019 Emerging Technologies Laval Virtual Revolution Research Jury Prize (2019)
• IJCAI-19 Most Entertaining Video Award (2019)