About Me
I am Jayeon Yi, a second-year PhD Student in Computer Science at the University of Illinois Urbana-Champaign. I am deeply grateful and fortunate to be working as a research assistant for Prof. Minje Kim. I am interested in representation learning for audio and relevant downstream applications. My current projects include DNN-based speech codecs – arguably an extreme (and important!) form of latent represenation learning and manipulation. I hope to be able to work on more ideas as I progress further into my degree!
I am also working as a Research Scientist/Engineer Intern at the Music AI team, Adobe, San Francisco. Before that, I worked as an Applied Scientist Intern at Amazon, Sunnyvale. Even before this, I worked with Prof. Hun-Seok Kim on a project related to video and image compression, during my Master’s at the University of Michigan. During my bachelor’s I was a student intern at Music and Audio Research Group, Seoul National University, under the guidance of Prof. Kyogu Lee. Projects from this period culminated in works in Speech Declipping and Music-synced game content generation, respectively presented in ICASSP 2024 and ISMIR 2023 LBD.
In my free time I make music on a DAW, and this activity continues to give me research ideas. For instance, here is our recent work on plate parameter estimation. I have also provided some of my music to labels and game creators.