Прати
Haibin Wu
Haibin Wu
Microsoft
Верификована је имејл адреса на microsoft.com - Почетна страница
Наслов
Навело
Навело
Година
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
1532022
Revisiting the monotonicity constraint in cooperative multi-agent reinforcement learning
J Hu, S Jiang, SA Harding, H Wu, S Liao
133*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
782019
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
692020
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
592020
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
462021
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
452022
Defense for black-box attacks on anti-spoofing models by self-supervised learning
H Wu, AT Liu, H Lee
Interspeech 2020, 3780-3784, 2020
382020
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
362021
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
352024
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
342023
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
33*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
312020
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
302019
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
292024
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
282021
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
252023
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
212024
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
162024
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
142024
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