Soohyun Kim

Soohyun Kim is a PhD student at CCRMA, Stanford University, advised by Prof. Chris Chafe. He also completed his master's degree at CCRMA advised by Prof. Julius Smith.

His primary research interests lie in (1) creative and human-playable sound synthesis through neural networks (Differentiable DSP/Physical Modeling) and (2) human-AI interaction design for new music performance.

He holds a bachelor's degree in EE (electrical engineering) with a minor in physics from KAIST (Korea Advanced Institute of Science and Technology), where he conducted research on neural sound synthesis with Prof. Juhan Nam.

Beyond his academic work, Soohyun is a music producer and recording/mixing engineer trained in South Korea, with experience in multiple popular music production projects. As a musician, he is a guitarist and singer.

Soohyun's research objective is to shape and guide the future of AI music performance and composition, steering it towards a more artistic, aesthetic, and playful paradigm. His ambition is to elevate AI from an automatic audio tool to an intrinsic artistic medium for music performance and composition. He aims to explore and demonstrate how musicians can expand their artistic expression through AI, and how AI can offer enjoyable and playful musical experiences for both amateur musicians and the general public.
 

• What unique qualities does AI inherently possess as an artistic medium, particularly in the realms of music performance and composition?
• What new musical expressions are achievable only through the uniqueabilities of AI?