April 11, 2022
Ryuku Nobusue (first-year master's student, Graduate School of Media and Governance, at the time of the award), a member of the Nao Tokui Lab led by Associate Professor Nao Tokui of the Graduate School of Media and Governance, received the Student Encouragement Award at the 84th National Convention of the Information Processing Society of Japan (IPSJ).
The Information Processing Society of Japan (IPSJ) aims to contribute to the development of academia, culture, and industry by promoting academic and technical fields related to information processing, with a focus on computers and communication. The Student Encouragement Award is presented for outstanding presentations in the student sessions.
The 84th National Convention was held in a hybrid format at the Johoku Campus of Ehime University from March 3–5, 2022. Mr. Nobusue presented a paper titled "Bernoulli Diffusion Model; A Study on Symbolic Sequential Data Generation with Diffusion Models."
Comment from Ryuku Nobusue (First-Year Master's Student, Graduate School of Media and Governance, at the time of the award)
In this research, I applied and implemented a new method called the Diffusion Model to a generation model for drum scores to capture the process of creating music with machine learning. The work was highly evaluated for its thorough analysis based on a questionnaire survey of experienced musicians and for tackling the challenging issue of creativity. I would like to express my gratitude to Professor Nao Tokui for his guidance, as well as to all the members of the lab for their active discussions.
Posted by: General Affairs Section, Shonan Fujisawa Campus (SFC) Office