Taegyun Kwon’s homepage
- Publications and Talks [Google Scholar]
- Curriculum Vitae
- Github
Hi, I’m Taegyun Kwon. I’m Ph.D student @ Music and Audio Computing lab. I’m a music information retrieval researcher, an amature pianist and a treveler.
Blog
Comming soon!
Publication
-
TräumerAI: Dreaming Music with StyleGAN
Daseam Jeong, Seungheon Doh and Taegyun Kwon
Creativity Workshop, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada.(Accepted) -
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model
Taegyun Kwon, Daseam Jeong and Juhan Nam
Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR), 2020 [Pdf] [Project Page] [AI:UM Demo(Korean)] -
Note Intensity Estimation of Piano Recordings Using Coarsely-aligned MIDI Score
Dasaem Jeong, Taegyun Kwon, and Juhan Nam
Journal of the Audio Engineering Society, 2020 [pdf] -
A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity
Saebyul Park, Taegyun Kwon, Jongpil Lee, Jeounghoon Kim, and Juhan Nam
Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), 2019 [pdf] [code] -
VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance
Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Kyogu Lee and Juhan Nam
Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR), 2019 [pdf] [code] -
Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance
Dasaem Jeong, Taegyun Kwon, Yoojin Kim, and Juhan Nam
Proceedings of the 36th International Conference on Machine Learning (ICML), 2019 [pdf] -
Score and Performance Features for Rendering Expressive Music Performances
Dasaem Jeong, Taegyun Kwon, Yoojin Kim, and Juhan Nam
Proceedings of the Music Encoding Conference, 2019 [pdf] -
VirtuosoNet: A Hierarchical Attention RNN for Generating Expressive Piano Performance from Music Score
Dasaem Jeong, Taegyun Kwon, and Juhan Nam
Workshop on Machine Learning for Creativity and Design, Neural Information Processing Systems (NeurIPS), 2018 [pdf] -
A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings
Dasaem Jeong, Taegyun Kwon, and Juhan Nam
Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018 [pdf] -
PerformScore: Toward Performance Visualization With the Score on the Web Browser
Dasaem Jeong, Taegyun Kwon, Chaelin Park, and Juhan Nam
Late Breaking Demo in the 18th International Society for Musical Information Retrieval Conference (ISMIR), 2017 [pdf] -
Automatic DJ Mix Generation Using Highlight Detection
Adrian Kim, Soram Park, Jangyeon Park, Jung-Woo Ha, Taegyun Kwon, and Juhan Nam
Late Breaking Demo in the 18th International Society for Musical Information Retrieval Conference (ISMIR), 2017 [pdf] -
Audio-to-score alignment of piano music using RNN-based automatic music transcription
Taegyun Kwon, Dasaem Jeong and Juhan Nam
Proceedings of the 14th Sound and Music Computing Conference (SMC), 2017 [pdf] [Demo]