| MFA: TDNN with multi-scale frequency-channel attention for text-independent speaker verification with short utterances T Liu, RK Das, KA Lee, H Li ICASSP 2022-2022 IEEE international conference on acoustics, speech and …, 2022 | 56 | 2022 |
| Scoring of Large-Margin Embeddings for Speaker Verification: Cosine or PLDA? Q Wang, KA Lee, T Liu Proc. Interspeech 2022, 600-604, 2022 | 17 | 2022 |
| Neural acoustic-phonetic approach for speaker verification with phonetic attention mask T Liu, RK Das, KA Lee, H Li IEEE Signal Processing Letters 29, 782-786, 2022 | 14 | 2022 |
| Speaker-Utterance Dual Attention for Speaker and Utterance Verification T Liu, RK Das, M Madhavi, S Shen, H Li Proc. Interspeech 2020, 4293-4297, 2020 | 11 | 2020 |
| A Unified Framework for Speaker and Utterance Verification T Liu, MC Madhavi, RK Das, H Li Proc. Interspeech 2019, 4320-4324, 2019 | 10 | 2019 |
| Disentangling Voice and Content with Self-Supervision for Speaker Recognition T Liu, KA Lee, Q Wang, H Li Advances in Neural Information Processing Systems (NeurIPS) 2023, 2023 | 8 | 2023 |
| Incorporating Uncertainty from Speaker Embedding Estimation to Speaker Verification Q Wang, KA Lee, T Liu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Golden Gemini is All You Need: Finding the Sweet Spots for Speaker Verification T Liu, KA Lee, Q Wang, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 3 | 2024 |
| Voice Conversion Augmentation for Speaker Recognition on Defective Datasets R Tao, Z Shi, Y Jiang, T Liu, H Li arXiv preprint arXiv:2404.00863, 2024 | | 2024 |
Haizhou LiThe Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; NUS, SingaporeVerified email at u.nus.edu
