Мин Су Хан

PhD (Электротехника), Профессор, Korea Advanced Institute of Science and Technology

Scopus h-index: 20

Web of Science h-index: 15

Google Scholar h-index: 27

Профессиональные (научные) интересы: Pattern Recognition, Speech and Signal Processing, AI

Избранные публикации:

Choi, H., & Hahn, M. (2021). Sequence-to-sequence emotional voice conversion with strength control. IEEE Access, 9, 42674-42687. doi:10.1109/ACCESS.2021.3065460

Choi, H., Kim, J., Park, J., Kim, J., & Hahn, M. (2018). Low-dimensional representation of spectral envelope using deep auto-encoder for speech synthesis. Paper presented at the ACM International Conference Proceeding Series, , 2018-February 107-111. doi:10.1145/3185066.3185088 Retrieved from www.scopus.com

Choi, H., Park, S., Park, J., & Hahn, M. (2019). Emotional speech synthesis for multi-speaker emotional dataset using WaveNet vocoder. Paper presented at the 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, doi:10.1109/ICCE.2019.8661919 Retrieved from www.scopus.com

Choi, H., Park, S., Park, J., & Hahn, M. (2019). Multi-speaker emotional acoustic modeling for CNN-based speech synthesis. Paper presented at the ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing — Proceedings, , 2019-May 6950-6954. doi:10.1109/ICASSP.2019.8683682 Retrieved from www.scopus.com

Kim, J., & Hahn, M. (2019). Speech enhancement using a two-stage network for an efficient boosting strategy. IEEE Signal Processing Letters, 26(5), 770-774. doi:10.1109/LSP.2019.2905660

Kim, J., & Hahn, M. (2018). Voice activity detection using an adaptive context attention model. IEEE Signal Processing Letters, 25(8), 1181-1185. doi:10.1109/LSP.2018.2811740

Park, S., & Hahn, M. (2018). Modulation spectrum-constrained trajectory error training for mixture density network-based speech synthesis. Journal of the Acoustical Society of America, 144(3), EL151-EL157. doi:10.1121/1.5052206