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| 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 | 586 | 2022 |
| 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 | 265 | 2020 |
| 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 | 226 | 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 | 197 | 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 | 183 | 2019 |
| 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 | 138 | 2021 |
| 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 | 103 | 2022 |
| 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 | 97 | 2021 |
| Renelito Delos Santos R Thoppilan, D De Freitas, J Hall, N Shazeer, A Kulshreshtha, HT Cheng, ... | 69 | 2022 |
| 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 | 54 | 2022 |
| 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 | 47 | 2021 |
| Conformer: Convolution-augmented 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 | 34 | 2020 |
| An efficient streaming non-recurrent on-device end-to-end model with improvements to rare-word modeling TN Sainath, YR He, A Narayanan, R Botros, R Pang, DJ Rybach, ... | 32 | 2021 |
| 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 | 26 | 2023 |
| 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 | 22 | 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 |
| 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 | 13 | 2023 |
| 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 | | 2023 |
| ading WER for Latency W Li, J Qin, CC Chiu, R Pang, Y He | | 2020 |
