Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. - Jonathan Shen; Patrick Nguyen; Yonghui Wu; Zhifeng Chen; Mia Xu Chen; Ye Jia; Anjuli Kannan; Tara N. Sainath; Yuan Cao 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

Conformer: Convolution-augmented Transformer for Speech Recognition. - Anmol Gulati; James Qin; Chung-Cheng Chiu; Niki Parmar; Yu Zhang 033; Jiahui Yu; Wei Han 002; Shibo Wang; Zhengdong Zhang; Yonghui Wu; Ruoming Pang (INTERSPEECH, 2020)

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. - Wei Han 002; Zhengdong Zhang; Yu Zhang 033; Jiahui Yu; Chung-Cheng Chiu; James Qin; Anmol Gulati; Ruoming Pang; Yonghui Wu (INTERSPEECH, 2020)

Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition. - Wei Li 133; James Qin; Chung-Cheng Chiu; Ruoming Pang; Yanzhang He (INTERSPEECH, 2020)

Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition. - Yu Zhang 033; James Qin; Daniel S. Park; Wei Han 002; Chung-Cheng Chiu; Ruoming Pang; Quoc V. Le; Yonghui Wu (CoRR, 2020)

w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. - Yu-An Chung; Yu Zhang 033; Wei Han 002; Chung-Cheng Chiu; James Qin; Ruoming Pang; Yonghui Wu (ASRU, 2021)

Scaling End-to-End Models for Large-Scale Multilingual ASR. - Bo Li 028; Ruoming Pang; Tara N. Sainath; Anmol Gulati; Yu Zhang 033; James Qin; Parisa Haghani; W. Ronny Huang; Min Ma; Junwen Bai (ASRU, 2021)

A Better and Faster end-to-end Model for Streaming ASR. - Bo Li 028; Anmol Gulati; Jiahui Yu; Tara N. Sainath; Chung-Cheng Chiu; Arun Narayanan; Shuo-Yiin Chang; Ruoming Pang; Yanzhang He; James Qin; Wei Han 002; Qiao Liang 001; et al. (ICASSP, 2021)

An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Ruoming Pang; David Rybach; Cyril Allauzen; Ehsan Variani; James Qin; Quoc-Nam Le-The; Shuo-Yiin Chang; Bo Li 028; et al. (Interspeech, 2021)

Scaling End-to-End Models for Large-Scale Multilingual ASR. - Bo Li 028; Ruoming Pang; Tara N. Sainath; Anmol Gulati; Yu Zhang 033; James Qin; Parisa Haghani; W. Ronny Huang; Min Ma (CoRR, 2021)

Improving The Latency And Quality Of Cascaded Encoders. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Weiran Wang; David Qiu; Chung-Cheng Chiu; Rohit Prabhavalkar; Alexander Gruenstein; Anmol Gulati; Bo Li 028; David Rybach; et al. (ICASSP, 2022)

Vector-quantized Image Modeling with Improved VQGAN. - Jiahui Yu; Xin Li; Jing Yu Koh; Han Zhang 010; Ruoming Pang; James Qin; Alexander Ku; Yuanzhong Xu; Jason Baldridge; Yonghui Wu (ICLR, 2022)

Self-supervised learning with random-projection quantizer for speech recognition. - Chung-Cheng Chiu; James Qin; Yu Zhang; Jiahui Yu; Yonghui Wu (ICML, 2022)

LaMDA: Language Models for Dialog Applications. - Romal Thoppilan; Daniel De Freitas; Jamie Hall; Noam Shazeer; Apoorv Kulshreshtha; Heng-Tze Cheng; Alicia Jin; Taylor Bos; Leslie Baker; Yu Du; YaGuang Li; Hongrae Lee; et al. (CoRR, 2022)

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. - Yu Zhang 033; Daniel S. Park; Wei Han 002; James Qin; Anmol Gulati; Joel Shor; Aren Jansen; Yuanzhong Xu; Yanping Huang; Shibo Wang; Zongwei Zhou; Bo Li 028; et al. (IEEE J. Sel. Top. Signal Process., 2022)

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. - Yu Zhang 033; Wei Han 002; James Qin; Yongqiang Wang; Ankur Bapna; Zhehuai Chen; Nanxin Chen; Bo Li 028; Vera Axelrod; Gary Wang; Zhong Meng; Ke Hu; et al. (CoRR, 2023)

Efficient Adapters for Giant Speech Models. - Nanxin Chen; Izhak Shafran; Yu Zhang 033; Chung-Cheng Chiu; Hagen Soltau; James Qin; Yonghui Wu (CoRR, 2023)

AudioPaLM: A Large Language Model That Can Speak and Listen. - Paul K. Rubenstein; Chulayuth Asawaroengchai; Duc Dung Nguyen; Ankur Bapna; Zalán Borsos; Félix de Chaumont Quitry; Peter Chen; Dalia El Badawy; Wei Han 002; Eugene Kharitonov; Hannah Muckenhirn; Dirk Padfield; et al. (CoRR, 2023)

Massive End-to-end Models for Short Search Queries. - Weiran Wang; Rohit Prabhavalkar; Dongseong Hwang; Qiujia Li; Khe Chai Sim; Bo Li 028; James Qin; Xingyu Cai; Adam Stooke; Zhong Meng; CJ Zheng; Yanzhang He; et al. (CoRR, 2023)

Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. - W. Ronny Huang; Cyril Allauzen; Tongzhou Chen; Kilol Gupta; Ke Hu; James Qin; Yu Zhang 033; Yongqiang Wang; Shuo-Yiin Chang; Tara N. Sainath (ICASSP, 2024)

Massive End-to-end Speech Recognition Models with Time Reduction. - Weiran Wang; Rohit Prabhavalkar; Haozhe Shan; Zhong Meng; Dongseong Hwang; Qiujia Li; Khe Chai Sim; Bo Li 028; James Qin; Xingyu Cai; Adam Stooke; Chengjian Zheng; et al. (NAACL-HLT, 2024)