| 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 | 2545 | 2020 |
| Lamda: Language models for dialog applications R Thoppilan, D De Freitas, J Hall, N Shazeer, A Kulshreshtha, HT Cheng, ... arXiv preprint arXiv:2201.08239, 2022 | 1075 | 2022 |
| 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 | 407 | 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 | 294 | 2021 |
| 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 | 268 | 2020 |
| Vector-quantized image modeling with improved vqgan J Yu, X Li, JY Koh, H Zhang, R Pang, J Qin, A Ku, Y Xu, J Baldridge, Y Wu arXiv preprint arXiv:2110.04627, 2021 | 233 | 2021 |
| 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 | 198 | 2019 |
| 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 | 141 | 2022 |
| 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 | 121 | 2023 |
| A better and faster end-to-end model for streaming asr B Li, A Gulati, J Yu, TN Sainath, CC Chiu, A Narayanan, SY Chang, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 115 | 2021 |
| Self-supervised learning with random-projection quantizer for speech recognition CC Chiu, J Qin, Y Zhang, J Yu, Y Wu International Conference on Machine Learning, 3915-3924, 2022 | 105 | 2022 |
| Renelito Delos Santos R Thoppilan, D De Freitas, J Hall, N Shazeer, A Kulshreshtha, HT Cheng, ... | 98 | 2022 |
| Audiopalm: A large language model that can speak and listen PK Rubenstein, C Asawaroengchai, DD Nguyen, A Bapna, Z Borsos, ... arXiv preprint arXiv:2306.12925, 2023 | 69 | 2023 |
| Scaling end-to-end models for large-scale multilingual asr B Li, R Pang, TN Sainath, A Gulati, Y Zhang, J Qin, P Haghani, WR Huang, ... 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 63 | 2021 |
| Conformer: Convolutionaugmented transformer for speech recognition. arXiv 2020 A Gulati, J Qin, CC Chiu, N Parmar, Y Zhang, J Yu, W Han, S Wang, ... arXiv preprint arXiv:2005.08100, 2020 | 48 | 2020 |
| An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling. TN Sainath, Y He, A Narayanan, R Botros, R Pang, D Rybach, C Allauzen, ... Interspeech 8, 1777-1781, 2021 | 40 | 2021 |
| Improving the latency and quality of cascaded encoders TN Sainath, Y He, A Narayanan, R Botros, W Wang, D Qiu, CC Chiu, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 25 | 2022 |
| Parallel rescoring with transformer for streaming on-device speech recognition W Li, J Qin, CC Chiu, R Pang, Y He arXiv preprint arXiv:2008.13093, 2020 | 16 | 2020 |
| Efficient adapters for giant speech models N Chen, I Shafran, Y Zhang, CC Chiu, H Soltau, J Qin, Y Wu arXiv preprint arXiv:2306.08131, 2023 | 5 | 2023 |
