Large vocabulary automatic speech recognition for children. - Hank Liao; Golan Pundak; Olivier Siohan; Melissa K. Carroll; Noah Coccaro; Qi-Ming Jiang; Tara N. Sainath; Andrew W. Senior; Françoise Beaufays; Michiel Bacchiani (INTERSPEECH, 2015)

Lower Frame Rate Neural Network Acoustic Models. - Golan Pundak; Tara N. Sainath (INTERSPEECH, 2016)

Acoustic Modeling for Google Home. - Bo Li 028; Tara N. Sainath; Arun Narayanan; Joe Caroselli; Michiel Bacchiani; Ananya Misra; Izhak Shafran; Hasim Sak; Golan Pundak; Kean K. Chin; Khe Chai Sim; Ron J. Weiss; et al. (INTERSPEECH, 2017)

Highway-LSTM and Recurrent Highway Networks for Speech Recognition. - Golan Pundak; Tara N. Sainath (INTERSPEECH, 2017)

Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition. - Khe Chai Sim; Arun Narayanan; Ananya Misra; Anshuman Tripathi; Golan Pundak; Tara N. Sainath; Parisa Haghani; Bo Li 028; Michiel Bacchiani (INTERSPEECH, 2018)

Toward Domain-Invariant Speech Recognition via Large Scale Training. - Arun Narayanan; Ananya Misra; Khe Chai Sim; Golan Pundak; Anshuman Tripathi; Mohamed Elfeky 001; Parisa Haghani; Trevor Strohman; Michiel Bacchiani (SLT, 2018)

Deep Context: End-to-end Contextual Speech Recognition. - Golan Pundak; Tara N. Sainath; Rohit Prabhavalkar; Anjuli Kannan; Ding Zhao (SLT, 2018)

Contextual Speech Recognition with Difficult Negative Training Examples. - Uri Alon 002; Golan Pundak; Tara N. Sainath (ICASSP, 2019)

Phoebe: Pronunciation-aware Contextualization for End-to-end Speech Recognition. - Antoine Bruguier; Rohit Prabhavalkar; Golan Pundak; Tara N. Sainath (ICASSP, 2019)

Streaming End-to-end Speech Recognition for Mobile Devices. - Yanzhang He; Tara N. Sainath; Rohit Prabhavalkar; Ian McGraw; Raziel Alvarez; Ding Zhao; David Rybach; Anjuli Kannan; Yonghui Wu; Ruoming Pang; Qiao Liang 001; Deepti Bhatia; et al. (ICASSP, 2019)

Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models. - Ke Hu; Antoine Bruguier; Tara N. Sainath; Rohit Prabhavalkar; Golan Pundak (INTERSPEECH, 2019)

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)

Improving Proper Noun Recognition in End-To-End Asr by Customization of the Mwer Loss Criterion. - Cal Peyser; Tara N. Sainath; Golan Pundak (ICASSP, 2020)

A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. - Tara N. Sainath; Yanzhang He; Bo Li 028; Arun Narayanan; Ruoming Pang; Antoine Bruguier; Shuo-Yiin Chang; Wei Li 133; Raziel Alvarez; Zhifeng Chen; Chung-Cheng Chiu; David Garcia; et al. (ICASSP, 2020)

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. - Tara N. Sainath; Yanzhang He; Bo Li 028; Arun Narayanan; Ruoming Pang; Antoine Bruguier; Shuo-Yiin Chang; Wei Li 133; Raziel Alvarez; Zhifeng Chen; Chung-Cheng Chiu; David Garcia; et al. (CoRR, 2020)

On-the-fly ASR Corrections with Audio Exemplars. - Golan Pundak; Tsendsuren Munkhdalai; Khe Chai Sim (INTERSPEECH, 2022)

NAM+: Towards Scalable End-to-End Contextual Biasing for Adaptive ASR. - Tsendsuren Munkhdalai; Zelin Wu; Golan Pundak; Khe Chai Sim; Jiayang Li; Pat Rondon; Tara N. Sainath (SLT, 2022)

Contextual Spelling Correction with Large Language Models. - Gan Song; Zelin Wu; Golan Pundak; Angad Chandorkar; Kandarp Joshi; Xavier Velez; Diamantino Caseiro; Ben Haynor; Weiran Wang; Nikhil Siddhartha; Pat Rondon; Khe Chai Sim (ASRU, 2023)

SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. - Mingqiu Wang; Wei Han 002; Izhak Shafran; Zelin Wu; Chung-Cheng Chiu; Yuan Cao 007; Nanxin Chen; Yu Zhang 033; Hagen Soltau; Paul K. Rubenstein; Lukas Zilka; Dian Yu; et al. (ASRU, 2023)

Dual-Mode NAM: Effective Top-K Context Injection for End-to-End ASR. - Zelin Wu; Tsendsuren Munkhdalai; Pat Rondon; Golan Pundak; Khe Chai Sim; Christopher Li (INTERSPEECH, 2023)

Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. - Weiran Wang; Zelin Wu; Diamantino Caseiro; Tsendsuren Munkhdalai; Khe Chai Sim; Pat Rondon; Golan Pundak; Gan Song; Rohit Prabhavalkar; Zhong Meng; Ding Zhao; Tara N. Sainath; et al. (CoRR, 2023)

SLM: Bridge the thin gap between speech and text foundation models. - Mingqiu Wang; Wei Han 002; Izhak Shafran; Zelin Wu; Chung-Cheng Chiu; Yuan Cao 007; Yongqiang Wang; Nanxin Chen; Yu Zhang 033; Hagen Soltau; Paul K. Rubenstein; Lukas Zilka; et al. (CoRR, 2023)

Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. - Weiran Wang; Zelin Wu; Diamantino Caseiro; Tsendsuren Munkhdalai; Khe Chai Sim; Pat Rondon; Golan Pundak; Gan Song; Rohit Prabhavalkar; Zhong Meng; Ding Zhao; Tara Sainath; et al. (INTERSPEECH, 2024)

Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. - Zelin Wu; Gan Song; Christopher Li; Pat Rondon; Zhong Meng; Xavier Velez; Weiran Wang; Diamantino Caseiro; Golan Pundak; Tsendsuren Munkhdalai; Angad Chandorkar; Rohit Prabhavalkar (NAACL (Industry Track), 2024)