Ke Chen
Scholar

Ke Chen

Google Scholar ID: Uxjw_PIAAAAJ
Adobe Research | University of California San Diego
Music Information RetrievalAudio Analysis
Citations & Impact
All-time
Citations
2,489
 
H-index
19
 
i10-index
21
 
Publications
20
 
Co-authors
15
list available
Publications
1 items
Resume (English only)
Academic Achievements
  • Highlighted Projects: FLAM (Frame-wise Language-Audio Modeling), CLAP (Contrastive Language-Audio Pretraining), HTS-AT (Hierarchical Audio Transformer), Music SketchNet (Controllable Algorithmic Music Composition), POP909 (A Dataset for Pop Music Arrangement), TONet (A Singing Melody Extraction Framework), Choral Music Separation.
Research Experience
  • Research Scientist at Adobe Research; Interned at Adobe, Mitsubishi Electric Research Laboratories (MERL), Apple, and other companies, focusing on music and general audio research.
Education
  • PhD in Computer Science, University of California San Diego (UCSD); Master in Music, University of California San Diego (UCSD); Bachelor's degree in Software Engineering, Fudan University.
Background
  • Main interest: Audio Processing and Analysis, and its application to downstreaming tasks. Inter-disciplinary among music, general audio, and technology, including Audio Representation Learning, Language-Audio Modeling, Audio Understanding, Audio Source Separation, Music Information Retrieval, etc.
Miscellany
  • Alias 'Knut' comes from one of his favorite composers, Knut Nystedt; Was the website maintainer of New Interfaces for Musical Expression.