| Adversarially trained end-to-end korean singing voice synthesis system J Lee, HS Choi, CB Jeon, J Koo, K Lee arXiv preprint arXiv:1908.01919, 2019 | 87 | 2019 |
| Exploiting multi-modal features from pre-trained networks for Alzheimer's dementia recognition J Koo, JH Lee, J Pyo, Y Jo, K Lee arXiv preprint arXiv:2009.04070, 2020 | 58 | 2020 |
| Disentangling timbre and singing style with multi-singer singing synthesis system J Lee, HS Choi, J Koo, K Lee ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 21 | 2020 |
| Reverb conversion of mixed vocal tracks using an end-to-end convolutional deep neural network J Koo, S Paik, K Lee ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 13 | 2021 |
| Music mixing style transfer: A contrastive learning approach to disentangle audio effects J Koo, MA Martínez-Ramírez, WH Liao, S Uhlich, K Lee, Y Mitsufuji ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 9 | 2023 |
| End-to-end music remastering system using self-supervised and adversarial training J Koo, S Paik, K Lee ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 7 | 2022 |
| Representation Selective Self-distillation and wav2vec 2.0 Feature Exploration for Spoof-aware Speaker Verification JW Lee, E Kim, J Koo, K Lee arXiv preprint arXiv:2204.02639, 2022 | 4 | 2022 |
| Self-refining of pseudo labels for music source separation with noisy labeled data J Koo, Y Chae, CB Jeon, K Lee arXiv preprint arXiv:2307.12576, 2023 | 2 | 2023 |
| Exploiting Time-Frequency Conformers for Music Audio Enhancement Y Chae, J Koo, S Lee, K Lee Proceedings of the 31st ACM International Conference on Multimedia, 2362-2370, 2023 | 1 | 2023 |
| SMITIN: Self-Monitored Inference-Time INtervention for Generative Music Transformers J Koo, G Wichern, FG Germain, S Khurana, JL Roux arXiv preprint arXiv:2404.02252, 2024 | | 2024 |
| DDD: A Perceptually Superior Low-Response-Time DNN-based Declipper J Yi, J Koo, K Lee arXiv preprint arXiv:2401.03650, 2024 | | 2024 |
| UNDERSTANDING AND CONTROLLING GENERATIVE MUSIC TRANSFORMERS BY PROBING INDIVIDUAL ATTENTION HEADS J Koo, G Wichern, FG Germain, S Khurana, J Le Roux | | |
| SASV Challenge 2022 System Description JW Lee, E Kim, J Koo, K Lee, M Team | | |
Kyogu LeeProfessor, Seoul National University確認したメール アドレス: snu.ac.kr
