KangEun Lee

./AIRIS_LAB/KE/Intro>
Hello, I'm KangEun Lee and a Master's Student in the KAIST CT AIRIS LAB
under the supervision of Prof. Sungyoung Kim.
I am passionate about exploring diverse research areas. Currently, my focus is on the collaboration
between AI and Spatial Audio. However, I remain open to exploring and contributing to various other fields as well.

./AIRIS_LAB/KE/Contact>
kelee_2024@kaist.ac.kr
https://www.linkedin.com/in/kangeun-lee-337703324/

./AIRIS_LAB/KE/Research_Topic>

Development of Automatic Audio Panning System
3D / Spatial Audio & Digital Signal Processing
Material-based Audio environment Reconstruction

Publications

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[2025]

International Conference
Kangeun Lee and Sungyoung Kim
"PAAP: Performer-Aware Automatic Panning System"
ACM SIGGRAPH 2025 (Vancouver, Canada), Poster Presentation

Session: Interactive Techniques
DOI : https://doi.org/10.1145/3721250.3742989
Check Details in Here!👍 : https://s2025.conference-schedule.org/presentation/?id=pos_187&sess=sess405

Demo Video)

SIGGRAPH 2025 DEMO VIDEO Recent Version.mp4

[2024]

International Conference
Oral Presentation
Lee, K., & Kim, S. (2024, October). Development of automatic audio panning system for immersive sound through stage size-aware model and object-tracking. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings (Vol. 270, No. 6, pp. 5216-5222). Institute of Noise Control Engineering. (https://doi.org/10.3397/IN_2024_3562)
--> Selected as one of Young Researcher Flash Talk Challenge

Sato, R., Lee, K., Izumi, Y., & Kim, S. (2024, April). Automatic Acoustical Material Estimation for Room-Specific Early Reflections in Auditory Augmented Reality (AAR) Application. In Audio Engineering Society Conference: AES 2024 International Audio for Games Conference. Audio Engineering Society.
(https://aes2.org/publications/elibrary-page/?id=22404)

Domestic Journal Paper
Lee, K., Park, H., & Kim, S. (2024). Research on depth information based object-tracking and stage size estimation for immersive audio panning. The Journal of the Acoustical Society of Korea, 43(5), 529–535. https://doi.org/10.7776/ASK.2024.43.5.529 (Indexed in Scopus)

Domestic Conference
Oral Presentation (Recommended as Journal Publication)
Lee, K. E., Park, H. J., & Kim, S. (2024). Research on depth information based object-tracking and stage size estimation for immersive audio panning. In Proceedings of the Acoustical Society of Korea Spring Meeting.

./AIRIS_LAB/KE/KoreaUniversity_AI_GraduateSchool(Coursework Completed)>

[2022]

Lee, S. H., Kim, J. H., Lee, K. E., & Lee, S. W. (2022, May). Fre-gan 2: Fast and efficient frequency-consistent audio synthesis. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6192-6196). IEEE. (https://doi.org/10.1109/ICASSP43922.2022.9746675)

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[2020]

Jeong, M. J., Jeong, D., Lee, K. E., Kim, S., & Yang, S. O. (2019, October 30). Development of preprocessing module for Korean online handwriting recognition. Proceedings of the Korea Information Processing Society Conference, 63–65. (https://doi.org/10.3745/PKIPS.Y2019M10A.63)
Jeong, D., Lee, K. E., Jeong, M. J., Moon, C., Kim, S., Kim, J., & Yang, S. O. (2020, November 5). Development of algorithm for online handwriting Hangul recognition. Proceedings of the Korea Information Processing Society Conference, 1000–1003. (https://doi.org/10.3745/PKIPS.Y2020M11A.1000)
Lee, K. E., & Kim, S. (2020, August 20). Development of handwritten Hangul recognition module for dictation.
Proceedings of the Korean Institute of Next Generation Computing Summer Academic Conference.

Researcher Experiences

./AIRIS_LAB/KE/Academic Services>
- Served as a Reviewer for IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS), 2025

./AIRIS_LAB/KE/Education>

Master's Course at KAIST
(2024 - present, currently enrolled)
- Graduate School of Culture Technology
Master's Degree in AI at Korea University
(Mar. 2021 - Aug. 2023)
- Dept. Artificial Intelligence (Coursework Completed)
BS in CS at Seokyeong University (Mar. 2017 - Feb. 2021)
- Dept. Computer Science
- Graduated with honors (magna cum laude),
ranked second in class

./AIRIS_LAB/KE/Internship>

Yamaha Corporation (HQ at Hamamatsu, Japan)
DSP Research Intern of Active sound Field Control(AFC) System (2025.01 ~ 2025.02)
Korea Advanced Institute of Science and Technology (KAIST),
AIRIS LAB Graduate Student (2024.02 ~ present)
Advisor : Sungyoung Kim
Korea Advanced Institute of Science and Technology (KAIST),
AIRIS LAB Research Internship (2023. 08 ~ 2024. 02)
Korea Univ. Department of Artificial Intelligence,
PRML LAB Graduate Student (2021.03 ~ 2023.01)
Advisor : Seong-Whan Lee
Seokyeong Univ. Department of Computer Science,
DI LAB Undergraduate Student LAB Representative (2018.08 ~ 2021.01)
Advisor : SungSuk Kim