| Audio augmentation for speech recognition. T Ko, V Peddinti, D Povey, S Khudanpur Interspeech 2015, 3586, 2015 | 1463 | 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 | 1173 | 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 | 311 | 2018 |
| Speecht5: Unified-modal encoder-decoder pre-training for spoken language processing J Ao, R Wang, L Zhou, C Wang, S Ren, Y Wu, S Liu, T Ko, Q Li, Y Zhang, ... arXiv preprint arXiv:2110.07205, 2021 | 246 | 2021 |
| Wavcaps: A chatgpt-assisted weakly-labelled audio captioning dataset for audio-language multimodal research X Mei, C Meng, H Liu, Q Kong, T Ko, C Zhao, MD Plumbley, Y Zou, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 146 | 2024 |
| 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 | 138 | 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 | 107 | 2016 |
| 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 | 60 | 2022 |
| 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 | 53 | 2021 |
| M3ST: Mix at Three Levels for Speech Translation X Cheng, Q Dong, F Yue, T Ko, M Wang, Y Zou ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 52 | 2023 |
| Findings of the iwslt 2023 evaluation campaign M Agarwal, S Agarwal, A Anastasopoulos, L Bentivogli, O Bojar, C Borg, ... Association for Computational Linguistics, 2023 | 52 | 2023 |
| 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 | 50 | 2022 |
| Mixup Learning Strategies for Text-Independent Speaker Verification. Y Zhu, T Ko, B Mak Interspeech, 4345-4349, 2019 | 38 | 2019 |
| 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 | 34 | 2021 |
| 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 | 32* | 2018 |
| Token-level supervised contrastive learning for punctuation restoration Q Huang, T Ko, HL Tang, X Liu, B Wu arXiv preprint arXiv:2107.09099, 2021 | 28 | 2021 |
| Polyvoice: Language models for speech to speech translation Q Dong, Z Huang, Q Tian, C Xu, T Ko, Y Zhao, S Feng, T Li, K Wang, ... arXiv preprint arXiv:2306.02982, 2023 | 23 | 2023 |
| Dub: Discrete unit back-translation for speech translation D Zhang, R Ye, T Ko, M Wang, Y Zhou arXiv preprint arXiv:2305.11411, 2023 | 23 | 2023 |
| 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 | 23 | 2020 |
| Repcodec: A speech representation codec for speech tokenization Z Huang, C Meng, T Ko arXiv preprint arXiv:2309.00169, 2023 | 21 | 2023 |
