Sungkyun Chang
Scholar

Sungkyun Chang

Google Scholar ID: UT4zjiMAAAAJ
Centre for Digital Music (C4DM), Queen Mary University of London
music information retrievaldeep learningsinging voice
Citations & Impact
All-time
Citations
133
 
H-index
6
 
i10-index
4
 
Publications
20
 
Co-authors
4
list available
Resume (English only)
Academic Achievements
  • Published 22 papers with 128 citations. Some of his research works include OmniVideoBench, RUMAA, ImprovNet, and YourMT3+.
Research Experience
  • Currently a Research Assistant at Centre for Digital Music, Queen Mary University of London; previously worked at Cochlear.ai and the Institute for Industrial Systems Innovation, Seoul National University.
Education
  • Master of Science, School of Electronic Engineering and Computer Science, Queen Mary University of London.
Background
  • Research interests include Music Information Retrieval and Machine Learning for Speech, Audio, and Music. Previously worked at Cochlear.ai and the Institute for Industrial Systems Innovation, Seoul National University.
Miscellany
  • GitHub: https://github.com/mimbres