Sungho Lee
Scholar

Sungho Lee

Google Scholar ID: 8yMXL5AAAAAJ
Ph.D. Student, Seoul National University
Audio signal processing
Citations & Impact
All-time
Citations
160
 
H-index
6
 
i10-index
4
 
Publications
15
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Published numerous papers in journals and conferences including JAES (2025), IEEE/ACM TASLP (2022), Interspeech (2025), ICASSP (2025, 2023), DAFx (2024), EMNLP Findings (2024), WASPAA (2023), ACM MM (2023), ISMIR LBD (2024, 2023), etc.
  • Recipient of Best Show & Tell Award at DAFx 2024
  • Best Student Paper Award Nominee at Interspeech 2025
  • Co-developed GRAFX, an open-source PyTorch library for audio processing graphs
  • Holds a Korean domestic patent: 'Multi-modal Guitar Performance Transcription Apparatus and Method' (2025)
  • Multiple preprints on arXiv covering differentiable acoustic radiance transfer, speech representation aggregation, and blind non-linear forward/inverse problems
Research Experience
  • Research Intern at Sony AI (Summer 2023): Worked on differentiable signal processing, music mixing, and graph learning
  • Research Intern at Supertone (Spring 2023): Focused on impulse response estimation for audio post-production; contributed to product Supertone Air
  • Research Project Lead at Supertone (2024): Led studio-quality speech enhancement project
  • Research Project Lead at Stra (2022): Developed real-time audiovisual guitar tablature system
  • Applicant for MCST (Korean Government) funded project (2022–2023): Musical signal processing
  • Applicant for IITP (Korean Government) funded project (2021–2023): SED/DOA and room acoustics analysis
Background
  • Ph.D. Candidate at the Music and Audio Research Group, Seoul National University
  • Research interests focus on inverse problems for audio
  • Domain expertise in room acoustics and audio effects
  • Methodology combines differentiable signal processing and generative models
  • Applications target audio post-production