Kristen Yeon-Ji Yun
Scholar

Kristen Yeon-Ji Yun

Google Scholar ID: tFl-VkEAAAAJ
Purdue University
AI in Music
Citations & Impact
All-time
Citations
5
 
H-index
1
 
i10-index
0
 
Publications
9
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Has organized multiple workshops and competitions, such as the 2025 Transcription Competition; involved in innovative projects like Automatic Music Transcription, Evaluator, Companion, Mus2Vid, and Robot Cello.
Research Experience
  • - Automatic Music Transcription: Fall 2024 - present, focusing on audio-to-MIDI transcription.
  • - Evaluator: Fall 2023 - present, helping musicians improve their posture through computer vision techniques.
  • - Companion: Fall 2023 - present, designing an app that responds to a human player's habits.
  • - Mus2Vid: Spring 2022 - present, generating real-time video depictions in response to classical music.
  • - Robot Cello: Spring 2024 - present, using reinforcement learning to teach a robot arm to play cello.
Background
  • Focused on the application of artificial intelligence in music technology, particularly developing reactive systems that support musicians during their practice sessions and performances.
Miscellany
  • The team also collaborates with the Purdue Envision Center to gather motion capture data for its robotic arm project.
Co-authors
0 total
Co-authors: 0 (list not available)