Indri at TREC 2004: Terabyte Track. - Donald Metzler; Trevor Strohman; Howard R. Turtle; W. Bruce Croft (TREC, 2004)

Optimization strategies for complex queries. - Trevor Strohman; Howard R. Turtle; W. Bruce Croft (SIGIR, 2005)

UMass Robust 2005: Using Mixtures of Relevance Models for Query Expansion. - Donald Metzler; Fernando Diaz 001; Trevor Strohman; W. Bruce Croft (TREC, 2005)

Indri at TREC 2005: Terabyte Track. - Donald Metzler; Trevor Strohman; Yun Zhou; W. Bruce Croft (TREC, 2005)

Indri TREC Notebook 2006: Lessons Learned From Three Terabyte Tracks. - Donald Metzler; Trevor Strohman; W. Bruce Croft (TREC, 2006)

Efficient document retrieval in main memory. - Trevor Strohman; W. Bruce Croft (SIGIR, 2007)

Recommending citations for academic papers. - Trevor Strohman; W. Bruce Croft; David D. Jensen (SIGIR, 2007)

A Statistical View of Binned Retrieval Models. - Donald Metzler; Trevor Strohman; W. Bruce Croft (ECIR, 2008)

Search Engines - Information Retrieval in Practice. - W. Bruce Croft; Donald Metzler; Trevor Strohman (Pearson Education, 2009)

Fix it where it fails: Pronunciation learning by mining error corrections from speech logs. - Zhenzhen Kou; Daisy Stanton; Fuchun Peng; Françoise Beaufays; Trevor Strohman (ICASSP, 2015)

Speech Research at Google to Enable Universal Speech Interfaces. - Michiel Bacchiani; Françoise Beaufays; Alexander Gruenstein; Pedro J. Moreno 001; Johan Schalkwyk; Trevor Strohman; Heiga Zen (New Era for Robust Speech Recognition, Exploiting Deep Learning, 2017)

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)

Recognizing Long-Form Speech Using Streaming End-to-End Models. - Arun Narayanan; Rohit Prabhavalkar; Chung-Cheng Chiu; David Rybach; Tara N. Sainath; Trevor Strohman (ASRU, 2019)

Two-Pass End-to-End Speech Recognition. - Tara N. Sainath; Ruoming Pang; David Rybach; Yanzhang He; Rohit Prabhavalkar; Wei Li 133; Mirkó Visontai; Qiao Liang 001; Trevor Strohman; Yonghui Wu; Ian McGraw; Chung-Cheng Chiu (INTERSPEECH, 2019)

Towards Fast and Accurate Streaming End-To-End ASR. - Bo Li 028; Shuo-Yiin Chang; Tara N. Sainath; Ruoming Pang; Yanzhang He; Trevor Strohman; Yonghui Wu (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)

An Attention-Based Joint Acoustic and Text on-Device End-To-End Model. - Tara N. Sainath; Ruoming Pang; Ron J. Weiss; Yanzhang He; Chung-Cheng Chiu; Trevor Strohman (ICASSP, 2020)

Low Latency Speech Recognition Using End-to-End Prefetching. - Shuo-Yiin Chang; Bo Li 028; David Rybach; Yanzhang He; Wei Li 133; Tara N. Sainath; Trevor Strohman (INTERSPEECH, 2020)

Emitting Word Timings with End-to-End Models. - Tara N. Sainath; Ruoming Pang; David Rybach; Basi García; Trevor Strohman (INTERSPEECH, 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)

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)

Confidence Estimation for Attention-Based Sequence-to-Sequence Models for Speech Recognition. - Qiujia Li; David Qiu; Yu Zhang 033; Bo Li 028; Yanzhang He; Philip C. Woodland; Liangliang Cao; Trevor Strohman (ICASSP, 2021)

Cascaded Encoders for Unifying Streaming and Non-Streaming ASR. - Arun Narayanan; Tara N. Sainath; Ruoming Pang; Jiahui Yu; Chung-Cheng Chiu; Rohit Prabhavalkar; Ehsan Variani; Trevor Strohman (ICASSP, 2021)

Less is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. - Rohit Prabhavalkar; Yanzhang He; David Rybach; Sean Campbell; Arun Narayanan; Trevor Strohman; Tara N. Sainath (ICASSP, 2021)

Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. - W. Ronny Huang; Tara N. Sainath; Cal Peyser; Shankar Kumar; David Rybach; Trevor Strohman (Interspeech, 2021)

Transformer Based Deliberation for Two-Pass Speech Recognition. - Ke Hu; Ruoming Pang; Tara N. Sainath; Trevor Strohman (SLT, 2021)

Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device. - Zhouyuan Huo; Dongseong Hwang; Khe Chai Sim; Shefali Garg; Ananya Misra; Nikhil Siddhartha; Trevor Strohman; Françoise Beaufays (CoRR, 2021)

Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition. - Zhiyun Lu; Yanwei Pan; Thibault Doutre; Liangliang Cao; Rohit Prabhavalkar; Chao Zhang 031; Trevor Strohman (CoRR, 2021)

Transducer-Based Streaming Deliberation for Cascaded Encoders. - Ke Hu; Tara N. Sainath; Arun Narayanan; Ruoming Pang; Trevor Strohman (ICASSP, 2022)

Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning. - Dongseong Hwang; Ananya Misra; Zhouyuan Huo; Nikhil Siddhartha; Shefali Garg; David Qiu; Khe Chai Sim; Trevor Strohman; Françoise Beaufays; Yanzhang He (ICASSP, 2022)

Massively Multilingual ASR: A Lifelong Learning Solution. - Bo Li 028; Ruoming Pang; Yu Zhang 033; Tara N. Sainath; Trevor Strohman; Parisa Haghani; Yun Zhu; Brian Farris; Neeraj Gaur; Manasa Prasad (ICASSP, 2022)

Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. - Tsendsuren Munkhdalai; Khe Chai Sim; Angad Chandorkar; Fan Gao; Mason Chua; Trevor Strohman; Françoise Beaufays (ICASSP, 2022)

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)

Turn-Taking Prediction for Natural Conversational Speech. - Shuo-Yiin Chang; Bo Li 028; Tara N. Sainath; Chao Zhang 031; Trevor Strohman; Qiao Liang 001; Yanzhang He (INTERSPEECH, 2022)

Streaming Intended Query Detection using E2E Modeling for Continued Conversation. - Shuo-Yiin Chang; Guru Prakash; Zelin Wu; Tara N. Sainath; Bo Li 028; Qiao Liang 001; Adam Stambler; Shyam Upadhyay; Manaal Faruqui; Trevor Strohman (INTERSPEECH, 2022)

A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. - Shaojin Ding; Weiran Wang; Ding Zhao; Tara N. Sainath; Yanzhang He; Robert David; Rami Botros; Xin Wang 016; Rina Panigrahy; Qiao Liang 001; Dongseong Hwang; Ian McGraw; et al. (INTERSPEECH, 2022)

Improving Deliberation by Text-Only and Semi-Supervised Training. - Ke Hu; Tara N. Sainath; Yanzhang He; Rohit Prabhavalkar; Trevor Strohman; Sepand Mavandadi; Weiran Wang (INTERSPEECH, 2022)

Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. - W. Ronny Huang; Cal Peyser; Tara N. Sainath; Ruoming Pang; Trevor D. Strohman; Shankar Kumar (INTERSPEECH, 2022)

Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device. - Zhouyuan Huo; Dongseong Hwang; Khe Chai Sim; Shefali Garg; Ananya Misra; Nikhil Siddhartha; Trevor Strohman; Françoise Beaufays (INTERSPEECH, 2022)

Pseudo Label Is Better Than Human Label. - Dongseong Hwang; Khe Chai Sim; Zhouyuan Huo; Trevor Strohman (INTERSPEECH, 2022)

A Language Agnostic Multilingual Streaming On-Device ASR System. - Bo Li 028; Tara N. Sainath; Ruoming Pang; Shuo-Yiin Chang; Qiumin Xu; Trevor Strohman; Vince Chen; Qiao Liang 001; Heguang Liu; Yanzhang He; Parisa Haghani; Sameer Bidichandani (INTERSPEECH, 2022)

Improving Rare Word Recognition with LM-aware MWER Training. - Weiran Wang; Tongzhou Chen; Tara N. Sainath; Ehsan Variani; Rohit Prabhavalkar; W. Ronny Huang; Bhuvana Ramabhadran; Neeraj Gaur; Sepand Mavandadi; Cal Peyser; Trevor Strohman; Yanzhang He; et al. (INTERSPEECH, 2022)

Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification. - Chao Zhang 031; Bo Li 028; Tara N. Sainath; Trevor Strohman; Sepand Mavandadi; Shuo-Yiin Chang; Parisa Haghani (INTERSPEECH, 2022)

Flickering Reduction with Partial Hypothesis Reranking for Streaming ASR. - Antoine Bruguier; David Qiu; Trevor Strohman; Yanzhang He (SLT, 2022)

A Truly Multilingual First Pass and Monolingual Second Pass Streaming on-Device ASR System. - Sepand Mavandadi; Bo Li 028; Chao Zhang 031; Brian Farris; Tara N. Sainath; Trevor Strohman (SLT, 2022)

Modular Hybrid Autoregressive Transducer. - Zhong Meng; Tongzhou Chen; Rohit Prabhavalkar; Yu Zhang 033; Gary Wang; Kartik Audhkhasi; Jesse Emond; Trevor Strohman; Bhuvana Ramabhadran; W. Ronny Huang; Ehsan Variani; Yinghui Huang; et al. (SLT, 2022)

JOIST: A Joint Speech and Text Streaming Model for ASR. - Tara N. Sainath; Rohit Prabhavalkar; Ankur Bapna; Yu Zhang 033; Zhouyuan Huo; Zhehuai Chen; Bo Li 028; Weiran Wang; Trevor Strohman (SLT, 2022)

Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features. - Adam Stooke; Khe Chai Sim; Mason Chua; Tsendsuren Munkhdalai; Trevor Strohman (SLT, 2022)

Context-Aware end-to-end ASR Using Self-Attentive Embedding and Tensor Fusion. - Shuo-Yiin Chang; Chao Zhang 031; Tara N. Sainath; Bo Li 028; Trevor Strohman (ICASSP, 2023)

Massively Multilingual Shallow Fusion with Large Language Models. - Ke Hu; Tara N. Sainath; Bo Li 028; Nan Du 002; Yanping Huang; Andrew M. Dai; Yu Zhang 033; Rodrigo Cabrera; Zhifeng Chen; Trevor Strohman (ICASSP, 2023)

E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. - W. Ronny Huang; Shuo-Yiin Chang; Tara N. Sainath; Yanzhang He; David Rybach; Robert David; Rohit Prabhavalkar; Cyril Allauzen; Cal Peyser; Trevor D. Strohman (ICASSP, 2023)

Resource-Efficient Transfer Learning from Speech Foundation Model Using Hierarchical Feature Fusion. - Zhouyuan Huo; Khe Chai Sim; Bo Li 028; Dongseong Hwang; Tara N. Sainath; Trevor Strohman (ICASSP, 2023)

Comparison of Soft and Hard Target RNN-T Distillation for Large-Scale ASR. - Dongseong Hwang; Khe Chai Sim; Yu Zhang 033; Trevor Strohman (ICASSP, 2023)

Efficient Domain Adaptation for Speech Foundation Models. - Bo Li 028; Dongseong Hwang; Zhouyuan Huo; Junwen Bai; Guru Prakash; Tara N. Sainath; Khe Chai Sim; Yu Zhang 033; Wei Han 002; Trevor Strohman; Françoise Beaufays (ICASSP, 2023)

From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. - Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Rohit Prabhavalkar; Tara N. Sainath; Trevor Strohman (ICASSP, 2023)

UML: A Universal Monolingual Output Layer For Multilingual Asr. - Chao Zhang 031; Bo Li 028; Tara N. Sainath; Trevor Strohman; Shuo-Yiin Chang (ICASSP, 2023)

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)

Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. - Rami Botros; Anmol Gulati; Tara N. Sainath; Krzysztof Choromanski; Ruoming Pang; Trevor Strohman; Weiran Wang; Jiahui Yu (CoRR, 2023)

Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. - Junwen Bai; Bo Li 028; Qiujia Li; Tara N. Sainath; Trevor Strohman (ICASSP, 2024)

Controlled Decoding from Language Models. - Sidharth Mudgal; Jong Lee; Harish Ganapathy; YaGuang Li; Tao Wang; Yanping Huang; Zhifeng Chen; Heng-Tze Cheng; Michael Collins; Trevor Strohman; Jilin Chen; Alex Beutel; et al. (ICML, 2024)