| MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification Y Zhang, Z Lv, H Wu, S Zhang, P Hu, Z Wu, H Lee, H Meng Interspeech 2022, 306-310, 2022 | 142 | 2022 |
| Revisiting the monotonicity constraint in cooperative multi-agent reinforcement learning J Hu, S Jiang, SA Harding, H Wu, S Liao | 90* | 2021 |
| Adversarial attacks on spoofing countermeasures of automatic speaker verification S Liu, H Wu, H Lee, H Meng 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 74 | 2019 |
| Defense against adversarial attacks on spoofing countermeasures of ASV H Wu, S Liu, H Meng, H Lee ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 65 | 2020 |
| Simplified Granger causality map for data-driven root cause diagnosis of process disturbances Y Liu, HS Chen, H Wu, Y Dai, Y Yao, Z Yan Journal of Process Control 95, 45-54, 2020 | 51 | 2020 |
| Adversarial defense for automatic speaker verification by cascaded self-supervised learning models H Wu, X Li, AT Liu, Z Wu, H Meng, H Lee ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 45 | 2021 |
| Partially fake audio detection by self-attention-based fake span discovery H Wu, HC Kuo, N Zheng, KH Hung, HY Lee, Y Tsao, HM Wang, H Meng ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 39 | 2022 |
| Defense for black-box attacks on anti-spoofing models by self-supervised learning H Wu, AT Liu, H Lee Interspeech 2020, 3780-3784, 2020 | 36 | 2020 |
| Superb@ slt 2022: Challenge on generalization and efficiency of self-supervised speech representation learning T Feng, A Dong, CF Yeh, S Yang, TQ Lin, J Shi, KW Chang, Z Huang, ... 2022 IEEE Spoken Language Technology Workshop (SLT), 1096-1103, 2023 | 34 | 2023 |
| Improving the adversarial robustness for speaker verification by self-supervised learning H Wu, X Li, AT Liu, Z Wu, H Meng, HY Lee IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 202-217, 2021 | 34 | 2021 |
| Adversarial sample detection for speaker verification by neural vocoders H Wu, PC Hsu, J Gao, S Zhang, S Huang, J Kang, Z Wu, H Meng, HY Lee ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 31* | 2022 |
| Multiview learning for subsurface defect detection in composite products: A challenge on thermographic data analysis H Wu, K Zheng, S Sfarra, Y Liu, Y Yao IEEE Transactions on Industrial Informatics 16 (9), 5996-6003, 2020 | 29 | 2020 |
| Physically consistent soft-sensor development using sequence-to-sequence neural networks CH Chou, H Wu, JL Kang, DSH Wong, Y Yao, YC Chuang, SS Jang, ... IEEE Transactions on Industrial Informatics 16 (4), 2829-2838, 2019 | 29 | 2019 |
| 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 | 28 | 2024 |
| Voting for the right answer: Adversarial defense for speaker verification H Wu, Y Zhang, Z Wu, D Wang, H Lee INTERSPEECH 2021, 4294-4298, 2021 | 26 | 2021 |
| Speechgen: Unlocking the generative power of speech language models with prompts H Wu, KW Chang, YK Wu, H Lee arXiv preprint arXiv:2306.02207, 2023 | 24 | 2023 |
| Towards audio language modeling-an overview H Wu, X Chen, YC Lin, K Chang, HL Chung, AH Liu, H Lee arXiv preprint arXiv:2402.13236, 2024 | 20 | 2024 |
| Codec-superb: An in-depth analysis of sound codec models H Wu, HL Chung, YC Lin, YK Wu, X Chen, YC Pai, HH Wang, KW Chang, ... arXiv preprint arXiv:2402.13071, 2024 | 12 | 2024 |
| A Large-Scale Evaluation of Speech Foundation Models S Yang, HJ Chang, Z Huang, AT Liu, CI Lai, H Wu, J Shi, X Chang, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 11 | 2024 |
| EMO-SUPERB: An in-depth look at speech emotion recognition H Wu, HC Chou, KW Chang, L Goncalves, J Du, JSR Jang, CC Lee, ... arXiv preprint arXiv:2402.13018, 2024 | 11 | 2024 |
Hung-yi LeeNational Taiwan University在 ntu.edu.tw 的電子郵件地址已通過驗證
