| Investigating on incorporating pretrained and learnable speaker representations for multi-speaker multi-style text-to-speech CM Chien, JH Lin, C Huang, P Hsu, H Lee ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 67 | 2021 |
| Utilizing self-supervised representations for MOS prediction WC Tseng, C Huang, WT Kao, YY Lin, H Lee arXiv preprint arXiv:2104.03017, 2021 | 48 | 2021 |
| Defending your voice: Adversarial attack on voice conversion C Huang, YY Lin, H Lee, L Lee 2021 IEEE Spoken Language Technology Workshop (SLT), 552-559, 2021 | 44 | 2021 |
| How far are we from robust voice conversion: A survey T Huang, J Lin, H Lee 2021 IEEE Spoken Language Technology Workshop (SLT), 514-521, 2021 | 17 | 2021 |
| Toward degradation-robust voice conversion CY Huang, KW Chang, HY Lee ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| Dynamic-superb: Towards a dynamic, collaborative, and comprehensive instruction-tuning benchmark for speech C Huang, KH Lu, SH Wang, CY Hsiao, CY Kuan, H Wu, S Arora, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 4 | 2024 |
| Improving cross-lingual reading comprehension with self-training WC Huang, C Huang, H Lee arXiv preprint arXiv:2105.03627, 2021 | 3 | 2021 |
| Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model KW Chang, MH Chen, YP Lin, JN Hsu, PKM Huang, C Huang, SW Li, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 1 | 2023 |
Hung-yi LeeNational Taiwan University在 ntu.edu.tw 的電子郵件地址已通過驗證
