Faculty

Kyogu Lee

Principal Investigator, Professor

kglee@snu.ac.kr
http://marg.snu.ac.kr

Kyogu Lee received the B.S. degree in Electrical Engineering from Seoul National University, Seoul, Korea, in 1996, the M.M. degree in Music Technology from New York University, New York, in 2002, and the M.S. degree in Electrical Engineering and the Ph.D. degree in Computer-based Music Theory and Acoustics from Stanford University, Stanford, CA, in 2007 and 2008, respectively. He worked as a Senior Researcher in the Media Technology Lab at Gracenote from 2007 to 2009. He is now an associate professor in the Graduate School of Convergence Science and Technology at Seoul National University, Seoul, Korea and is leading the Music and Audio Research Group (MARG). His research focuses on signal processing and machine learning applied to music/audio. Some of research interests include:

  • Machine Listening (a.k.a. Computer Audition)
  • Music Retrieval
  • Source Separation
  • Music Perception/Cognition
  • Recommender Systems

Ph.D Candidates

Dooyong Sung
Dooyong Sung
Blind Source Separation
Automatic Music Transcription
Spatial Audio
Pyschoacoustics
Myoung woo Nam
Myoung woo Nam
Architectural Acoustics
Music Perception/Cognition
Interaction Sound Design
Subin Lee
Subin Lee
Cognitive science based Machine processing
Emotional / Depressed Speech Recognition
Music Information Retrieval
Jongkyu Shin
Jongkyu Shin
Human Computer Interaction
Audio-based Sensor Network
Immersive Media
Interactive Media Art
 Gwangseok An
Gwangseok An
Digital Signal Processing
Indoor Positioning System
Microprocessor / FPGA
Sensor Network
Jaeyoung Shin
Jaeyoung Shin
Audio/Music Signal Processing
Music Information Retrieval
New Musical Instrument
Seungyeon Rhyu
Seungyeon Rhyu
Music generation
Symbolic music analysis
Sequence modeling
Sarah Kim
Sarah Kim
Neuroscience of Music
Music Cognition & Music Psychology
Music Healthcare Systems
Donmoon Lee
Donmoon Lee
Audio Signal Processing
Machine Learing
Neural Networks
Music Information Retrieval
Acoustic Scene Analysis

Ph.D. Students

Jaeho Choi
Jaeho Choi
Data Mining
Knowledge-Based Systems Research and Applications
Information Network Analysis
IEEE 802.15.4 Network Software
Embedded System Software
Taehun Kim
Taehun Kim
Recommender Systems
Data Mining
Machine Learning
Music Production & Engineering
Mina Jo
Mina Jo
Auditory Cognitive Neuroscience
Music Cognition / Auditory Perception
Auditory-induced Emotion
Hyeong-Seok Choi
Hyeong-Seok Choi
Source Separation
Unsupervised learning of speech representation
Generative models for music&audio
End-to-end text to speech system
Acoustic speech recognition system
Youjeong Hong
Youjeong Hong
Auditory Perception and Cognition
Music and Brain Plasticity
Seohyun Kim
Seohyun Kim
Audio Signal Processing
Music Information Retrieval
Music Visualization
Wansoo Kim
Wansoo Kim
Machine Hearing/Listening
Sound Production Interface
Deep Learning
Audio Signal Processing
Myeonghoon Ryu
Myeonghoon Ryu
Sound Scene and Event Analysis
Deep Learning approaches in the field of Brain-Computer Interfacing (BCI)
EEG-based investigation of information processing for conscious auditory perception
Juheon Lee
Juheon Lee
Music Information Retrieval
Deep Learning
Automatic Music Transcription
Music Recommendation

Master’s Students

Kweon Choi
Kweon Choi
Music information retrieval
Automatic music composition
New musical interface
Yena Yoo
Yena Yoo
Machine Learning
Music Cognition
Auditory-induced Emotion
Jaejun Lee
Jaejun Lee
Sound Event Classification
Deep Learning
Music Information Retrieval
Jiehwan Lee
Jiehwan Lee
Source separation
Sound event classification
Changbin Jeon
Changbin Jeon
Deep Learning
Music Information Retrieval
Singing Synthesis

Researchers

Sungkyun Chang
Sungkyun Chang
Music Information Retrieval with Machine Learning
Lyrics to Audio Alignment
Singing Voice Information
Music Similarity
Computational Music Theory : Modeling Tonal Tension

Alumni

Kibeom Lee
Kibeom Lee
Samsung Electronics Software Center
Ziwon Hyung
Ziwon Hyung
Samsung Electronics
Yoonchang Han
Yoonchang HanCochlear.ai
Cochlear.ai
Hoon Heo
Hoon Heo
Samsung Electronics
Yongki Park
Yongki Park
Samsung Electronics
Jae Pil Kim
Jae Pil Kim
Samsung Electronics
Jeongsoo Park
Jeongsoo Park
Cochlear.ai
Il-Young Jeong
Il-Young Jeong
Cochlear.ai
Sangmin Lee
Sangmin Lee
LG Electronics CTO Department
Yekyung Kim
Yekyung Kim
LG Electronics CTO Department
Minz Sanghee Won
Minz Sanghee Won
Universitat Pompeu Fabra (UPF)
Jae Hun Kim
Jae Hun Kim
Delft University of Technology
Hwakyung Hyun
Hwakyung Hyun
Samsung Electronics Mobile
Yeonwha Kim
Yeonwha Kim
Researcher
Harim Kang
Harim Kang
Samsung Electronics
Hyun Gi Lim
Hyun Gi Lim
Cochlear.ai
Sooyeon Yoo
Sooyeon Yoo
LG Electronics CTO Department
Haoying Li
Haoying Li
Researcher
Taehoon Kim
Taehoon Kim
Samsung Electronics
Seungjin Lee
Seungjin Lee
SK Telecom ICT R&D Center