| Audio augmentation for speech recognition T Ko, V Peddinti, D Povey, S Khudanpur Sixteenth annual conference of the international speech communication …, 2015 | 1032 | 2015 |
| A study on data augmentation of reverberant speech for robust speech recognition T Ko, V Peddinti, D Povey, ML Seltzer, S Khudanpur 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 709 | 2017 |
| Self-attentive speaker embeddings for text-independent speaker verification. Y Zhu, T Ko, D Snyder, B Mak, D Povey Interspeech 2018, 3573-3577, 2018 | 247 | 2018 |
| Jhu aspire system: Robust lvcsr with tdnns, ivector adaptation and rnn-lms V Peddinti, G Chen, V Manohar, T Ko, D Povey, S Khudanpur 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 120 | 2015 |
| An empirical exploration of CTC acoustic models Y Miao, M Gowayyed, X Na, T Ko, F Metze, A Waibel 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 89 | 2016 |
| Speecht5: Unified-modal encoder-decoder pre-training for spoken language processing J Ao, R Wang, L Zhou, S Liu, S Ren, Y Wu, T Ko, Q Li, Y Zhang, Z Wei, ... arXiv preprint arXiv:2110.07205, 2021 | 42 | 2021 |
| An encoder-decoder based audio captioning system with transfer and reinforcement learning X Mei, Q Huang, X Liu, G Chen, J Wu, Y Wu, J Zhao, S Li, T Ko, HL Tang, ... arXiv preprint arXiv:2108.02752, 2021 | 25 | 2021 |
| Mixup Learning Strategies for Text-Independent Speaker Verification. Y Zhu, T Ko, B Mak Interspeech, 4345-4349, 2019 | 24 | 2019 |
| An investigation of few-shot learning in spoken term classification Y Chen, T Ko, L Shang, X Chen, X Jiang, Q Li arXiv preprint arXiv:1812.10233, 2018 | 24* | 2018 |
| CL4AC: A contrastive loss for audio captioning X Liu, Q Huang, X Mei, T Ko, HL Tang, MD Plumbley, W Wang arXiv preprint arXiv:2107.09990, 2021 | 15 | 2021 |
| Prototypical networks for small footprint text-independent speaker verification T Ko, Y Chen, Q Li ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 13 | 2020 |
| Eigentrigraphemes for under-resourced languages T Ko, B Mak Speech Communication 56, 132-141, 2014 | 13 | 2014 |
| A fully automated derivation of state-based eigentriphones for triphone modeling with no tied states using regularization T Ko, B Mak Twelfth Annual Conference of the International Speech Communication Association, 2011 | 13 | 2011 |
| Eigentriphones for context-dependent acoustic modeling T Ko, B Mak IEEE Transactions on Audio, Speech, and Language Processing 21 (6), 1285-1294, 2013 | 12 | 2013 |
| Eigentriphones: A basis for context-dependent acoustic modeling T Ko, B Mak 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 12 | 2011 |
| Lighthubert: Lightweight and configurable speech representation learning with once-for-all hidden-unit bert R Wang, Q Bai, J Ao, L Zhou, Z Xiong, Z Wei, Y Zhang, T Ko, H Li arXiv preprint arXiv:2203.15610, 2022 | 11 | 2022 |
| An encoder-decoder based audio captioning system with transfer and reinforcement learning for DCASE challenge 2021 task 6 X Mei, Q Huang, X Liu, G Chen, J Wu, Y Wu, J Zhao, S Li, T Ko, HL Tang, ... DCASE2021 Challenge, Tech. Rep, Tech. Rep, 2021 | 11 | 2021 |
| Multi-view self-attention based transformer for speaker recognition R Wang, J Ao, L Zhou, S Liu, Z Wei, T Ko, Q Li, Y Zhang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 10 | 2022 |
| Token-level supervised contrastive learning for punctuation restoration Q Huang, T Ko, HL Tang, X Liu, B Wu arXiv preprint arXiv:2107.09099, 2021 | 10 | 2021 |
| Automatic estimation of decoding parameters using large-margin iterative linear programming B Mak, T Ko Tenth Annual Conference of the International Speech Communication Association, 2009 | 10 | 2009 |
