KiHyun Nam

AI Researcher

Ph.D. Student

Multimodal AI Lab

Advisor : Prof. Joon Son Chung

Korea Advanced Institute of Science and Technology (KAIST), South Korea

Personal History

[09/01/2024 ~] Ph.D. course in Korea Advanced Institute of Science and Technology (KAIST) (Electrical Engineering)

[09/01/2022 ~ 08/31/2024] M.S. in Korea Advanced Institute of Science and Technology (KAIST) (Electrical Engineering)

[08/31/2024] B.S. in Hankuk University of Foreign Studies (HUFS) / (Computer Science)

[03/09/2021 ~ 09/09/2021] Naver Clova Speech Internship

[09/09/2019 ~ 03/09/2020] Naver Clova Speech Internship

Kihyun Nam, Heo, H. S., Jung, J. W., and Chung, J. S., “Disentangled Representation Learning for Environment-agnostic Speaker Recognition”, INTERSPEECH, 2024
Heo, H. S., Kihyun Nam, Lee, B. J., Kwon, Y., Lee, M., Kim, Y. J., and Chung, J. S., “Rethinking Session Variability: Leveraging Session Embeddings for Session Robustness in Speaker Verification”, ICASSP, 2024
Jung, C., Lee, S., Kihyun Nam, Rho, K., Kim, Y. J., Jang, Y., and Chung, J. S., “TalkNCE: Improving Active Speaker Detection with Talk-Aware Contrastive Learning”, ICASSP 2024
Kwak, D., Jung, J., Kihyun Nam, Jang, Y., Jung, J. W., Watanabe, S., & Chung, J. S., “VoxMM: Rich Transcription of Conversations in the Wild”, ICASSP, 2024
*Kihyun Nam, *Kim, Y., Huh, J., Heo, H.-S., Jung, J.-w., Chung, J.S., “Disentangled Representation Learning for Multilingual Speaker Recognition”, INTERSPEECH, 2023
*Kihyun Nam, *Young Jong Song, and Il Dong Yun, “Sss-ae: Anomaly detection using self-attention based sequence-to-sequence auto-encoder in smd assembly machine sound”, IEEE Access, 2021
*Ha, J., *Kihyun Nam, Kang, J., Lee, S., Yang, S., Jung, H., Kim, H., Kim, E., Kim, S., Kim, H.A., Doh, K., Lee, C.K., Sung, N., Kim, S., “ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers”, INTERSPEECH, 2022, [paper/github]