| Specaugment: A simple data augmentation method for automatic speech recognition DS Park, W Chan, Y Zhang, CC Chiu, B Zoph, ED Cubuk, QV Le arXiv preprint arXiv:1904.08779, 2019 | 3716 | 2019 |
| Conformer: Convolution-augmented transformer for speech recognition A Gulati, J Qin, CC Chiu, N Parmar, Y Zhang, J Yu, W Han, S Wang, ... arXiv preprint arXiv:2005.08100, 2020 | 2563 | 2020 |
| State-of-the-art speech recognition with sequence-to-sequence models CC Chiu, TN Sainath, Y Wu, R Prabhavalkar, P Nguyen, Z Chen, ... 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 1405 | 2018 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 467 | 2023 |
| Pushing the limits of semi-supervised learning for automatic speech recognition Y Zhang, J Qin, DS Park, W Han, CC Chiu, R Pang, QV Le, Y Wu arXiv preprint arXiv:2010.10504, 2020 | 314 | 2020 |
| W2v-bert: Combining contrastive learning and masked language modeling for self-supervised speech pre-training YA Chung, Y Zhang, W Han, CC Chiu, J Qin, R Pang, Y Wu 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 297 | 2021 |
| Monotonic chunkwise attention CC Chiu, C Raffel arXiv preprint arXiv:1712.05382, 2017 | 279 | 2017 |
| Contextnet: Improving convolutional neural networks for automatic speech recognition with global context W Han, Z Zhang, Y Zhang, J Yu, CC Chiu, J Qin, A Gulati, R Pang, Y Wu arXiv preprint arXiv:2005.03191, 2020 | 270 | 2020 |
| Improved noisy student training for automatic speech recognition DS Park, Y Zhang, Y Jia, W Han, CC Chiu, B Li, Y Wu, QV Le arXiv preprint arXiv:2005.09629, 2020 | 236 | 2020 |
| A streaming on-device end-to-end model surpassing server-side conventional model quality and latency TN Sainath, Y He, B Li, A Narayanan, R Pang, A Bruguier, S Chang, W Li, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 217 | 2020 |
| Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... arXiv preprint arXiv:1902.08295, 2019 | 199 | 2019 |
| Minimum word error rate training for attention-based sequence-to-sequence models R Prabhavalkar, TN Sainath, Y Wu, P Nguyen, Z Chen, CC Chiu, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 183 | 2018 |
| Monotonic infinite lookback attention for simultaneous machine translation N Arivazhagan, C Cherry, W Macherey, CC Chiu, S Yavuz, R Pang, W Li, ... arXiv preprint arXiv:1906.05218, 2019 | 178 | 2019 |
| A comparison of techniques for language model integration in encoder-decoder speech recognition S Toshniwal, A Kannan, CC Chiu, Y Wu, TN Sainath, K Livescu 2018 IEEE spoken language technology workshop (SLT), 369-375, 2018 | 177 | 2018 |
| Leveraging weakly supervised data to improve end-to-end speech-to-text translation Y Jia, M Johnson, W Macherey, RJ Weiss, Y Cao, CC Chiu, N Ari, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 171 | 2019 |
| Two-pass end-to-end speech recognition TN Sainath, R Pang, D Rybach, Y He, R Prabhavalkar, W Li, M Visontai, ... arXiv preprint arXiv:1908.10992, 2019 | 147 | 2019 |
| Specaugment on large scale datasets DS Park, Y Zhang, CC Chiu, Y Chen, B Li, W Chan, QV Le, Y Wu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 144 | 2020 |
| Bigssl: Exploring the frontier of large-scale semi-supervised learning for automatic speech recognition Y Zhang, DS Park, W Han, J Qin, A Gulati, J Shor, A Jansen, Y Xu, ... IEEE Journal of Selected Topics in Signal Processing 16 (6), 1519-1532, 2022 | 142 | 2022 |
| Recognizing long-form speech using streaming end-to-end models A Narayanan, R Prabhavalkar, CC Chiu, D Rybach, TN Sainath, ... 2019 IEEE automatic speech recognition and understanding workshop (ASRU …, 2019 | 131 | 2019 |
| Google usm: Scaling automatic speech recognition beyond 100 languages Y Zhang, W Han, J Qin, Y Wang, A Bapna, Z Chen, N Chen, B Li, ... arXiv preprint arXiv:2303.01037, 2023 | 125 | 2023 |
