Career Profile
Hello, I’m a Ph.D student at Music and Audio Computing Lab, KAIST, advised by Prof. Juhan Nam. My current research focuses on speech synthesis, audio tokenization, and music generation. I’m currently interested in efficient processing of audio by disentangling its features. I’m also interested in generative models such as GAN, discrete/continuous domain diffusion models, LLMs etc. I like writing songs and lyrics with my acoustic guitar. Some of my favorite artists include Radiohead, Yamashita Tatsuro, Velvet Underground, Byeong-woo Lee etc.
Education
Music and Audio Computing Lab (Advisor - Juhan Nam)
Music and Audio Computing Lab (Advisor - Juhan Nam)
Experiences
Publications
SDP-Codec: A Speaker-Decoupled Speech Codec with Pitch Injection for Low-Bitrate Coding and Zero-Shot Voice Conversion
[code]
[demo webpage]
[demo video]
The 27th Annual Conference of the International Speech Communication Association (Interspeech), 2026 (accepted)
Neural speech codec for disentangled speech representation learning, low-bitrate coding, and zero-shot voice conversion.
D3PIA: A Discrete Denoising Diffusion Model for Piano Accompaniment Generation From Lead Sheet
[code]
[demo]
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026
A lightweight discrete diffusion model for lead-sheet-conditioned symbolic music generation.
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
Discrete diffusion-based refinement model for structured piano transcription.
Proceedings of the 27th International Conference on Digital Audio Effects (DAFx24), 2024
Best Student Paper Award
Controllable neural audio effect modeling.
Expressive Acoustic Guitar Sound Synthesis with an Instrument-Specific Input Representation and Diffusion Outpainting
[demo]
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Controllable acoustic instrument synthesis using instrument-specific representations and diffusion outpainting.
J. Kor. Powd. Met. Inst., 20.5 (2018) 376-381
Projects
ToplAIner - Acoustic Guitar Conditioned Singing Voice Generation [Poster]
- 2023 Fall KAIST GCT731 Topics in Music Technology Final Project
Academic Advising
Teaching Activities
Skills
Python & PyTorch·
Deep Learning & Generative Models·
Audio, Speech & Music Signal Processing·
Representation Learning & Audio Tokenization·
Diffusion Models, Flow-based Models & Neural Codecs·
Experiment Management, Model Training & Evaluation·
Linux Server Administration, Docker, SLURM & Git