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Trevor D. Strohman
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Books and Theses
- 2009
[b1]W. Bruce Croft, Donald Metzler, Trevor Strohman:
Search Engines - Information Retrieval in Practice. Pearson Education 2009, ISBN 978-0-13-136489-9, pp. I-XXV, 1-524
Conference and Workshop Papers
- 2024
- [c53]Junwen Bai, Bo Li, Qiujia Li, Tara N. Sainath, Trevor Strohman:
Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. ICASSP 2024: 10841-10845 - [c52]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, Ahmad Beirami:
Controlled Decoding from Language Models. ICML 2024 - 2023
- [c51]Shuo-Yiin Chang, Chao Zhang, Tara N. Sainath, Bo Li, Trevor Strohman:
Context-Aware end-to-end ASR Using Self-Attentive Embedding and Tensor Fusion. ICASSP 2023: 1-5 - [c50]Ke Hu, Tara N. Sainath, Bo Li, Nan Du, Yanping Huang, Andrew M. Dai, Yu Zhang, Rodrigo Cabrera, Zhifeng Chen, Trevor Strohman:
Massively Multilingual Shallow Fusion with Large Language Models. ICASSP 2023: 1-5 - [c49]W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman:
E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. ICASSP 2023: 1-5 - [c48]Zhouyuan Huo, Khe Chai Sim, Bo Li, Dongseong Hwang, Tara N. Sainath, Trevor Strohman:
Resource-Efficient Transfer Learning from Speech Foundation Model Using Hierarchical Feature Fusion. ICASSP 2023: 1-5 - [c47]Dongseong Hwang, Khe Chai Sim, Yu Zhang, Trevor Strohman:
Comparison of Soft and Hard Target RNN-T Distillation for Large-Scale ASR. ICASSP 2023: 1-5 - [c46]Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays:
Efficient Domain Adaptation for Speech Foundation Models. ICASSP 2023: 1-5 - [c45]Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman:
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. ICASSP 2023: 1-5 - [c44]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Shuo-Yiin Chang:
UML: A Universal Monolingual Output Layer For Multilingual Asr. ICASSP 2023: 1-5 - 2022
- [c43]Bo Li, Ruoming Pang, Yu Zhang, Tara N. Sainath, Trevor Strohman, Parisa Haghani, Yun Zhu, Brian Farris, Neeraj Gaur, Manasa Prasad:
Massively Multilingual ASR: A Lifelong Learning Solution. ICASSP 2022: 6397-6401 - [c42]Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He:
Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning. ICASSP 2022: 6627-6631 - [c41]Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays:
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. ICASSP 2022: 6632-6636 - [c40]Ke Hu, Tara N. Sainath, Arun Narayanan, Ruoming Pang, Trevor Strohman:
Transducer-Based Streaming Deliberation for Cascaded Encoders. ICASSP 2022: 8107-8111 - [c39]Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang:
Improving The Latency And Quality Of Cascaded Encoders. ICASSP 2022: 8112-8116 - [c38]W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar:
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. INTERSPEECH 2022: 689-693 - [c37]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, David Rybach:
Improving Rare Word Recognition with LM-aware MWER Training. INTERSPEECH 2022: 1031-1035 - [c36]Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman:
Pseudo Label Is Better Than Human Label. INTERSPEECH 2022: 1421-1425 - [c35]Shaojin Ding, Weiran Wang, Ding Zhao, Tara N. Sainath, Yanzhang He, Robert David, Rami Botros, Xin Wang, Rina Panigrahy, Qiao Liang, Dongseong Hwang, Ian McGraw, Rohit Prabhavalkar, Trevor Strohman:
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. INTERSPEECH 2022: 1706-1710 - [c34]Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Trevor Strohman, Qiao Liang, Yanzhang He:
Turn-Taking Prediction for Natural Conversational Speech. INTERSPEECH 2022: 1821-1825 - [c33]Shuo-Yiin Chang, Guru Prakash, Zelin Wu, Tara N. Sainath, Bo Li, Qiao Liang, Adam Stambler, Shyam Upadhyay, Manaal Faruqui, Trevor Strohman:
Streaming Intended Query Detection using E2E Modeling for Continued Conversation. INTERSPEECH 2022: 1826-1830 - [c32]Bo Li, Tara N. Sainath, Ruoming Pang, Shuo-Yiin Chang, Qiumin Xu, Trevor Strohman, Vince Chen, Qiao Liang, Heguang Liu, Yanzhang He, Parisa Haghani, Sameer Bidichandani:
A Language Agnostic Multilingual Streaming On-Device ASR System. INTERSPEECH 2022: 3188-3192 - [c31]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Sepand Mavandadi, Shuo-Yiin Chang, Parisa Haghani:
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification. INTERSPEECH 2022: 3223-3227 - [c30]Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays:
Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device. INTERSPEECH 2022: 4845-4849 - [c29]Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar
, Trevor Strohman, Sepand Mavandadi, Weiran Wang:
Improving Deliberation by Text-Only and Semi-Supervised Training. INTERSPEECH 2022: 4940-4944 - [c28]Antoine Bruguier, David Qiu, Trevor Strohman, Yanzhang He:
Flickering Reduction with Partial Hypothesis Reranking for Streaming ASR. SLT 2022: 38-45 - [c27]Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman:
JOIST: A Joint Speech and Text Streaming Model for ASR. SLT 2022: 52-59 - [c26]Zhong Meng, Tongzhou Chen, Rohit Prabhavalkar, Yu Zhang, Gary Wang, Kartik Audhkhasi, Jesse Emond, Trevor Strohman, Bhuvana Ramabhadran, W. Ronny Huang, Ehsan Variani, Yinghui Huang, Pedro J. Moreno:
Modular Hybrid Autoregressive Transducer. SLT 2022: 197-204 - [c25]Adam Stooke, Khe Chai Sim, Mason Chua, Tsendsuren Munkhdalai, Trevor Strohman:
Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features. SLT 2022: 213-220 - [c24]Sepand Mavandadi, Bo Li, Chao Zhang, Brian Farris, Tara N. Sainath, Trevor Strohman:
A Truly Multilingual First Pass and Monolingual Second Pass Streaming on-Device ASR System. SLT 2022: 838-845 - 2021
- [c23]Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman:
Cascaded Encoders for Unifying Streaming and Non-Streaming ASR. ICASSP 2021: 5629-5633 - [c22]Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu:
A Better and Faster end-to-end Model for Streaming ASR. ICASSP 2021: 5634-5638 - [c21]Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath:
Less is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. ICASSP 2021: 5659-5663 - [c20]Qiujia Li, David Qiu, Yu Zhang, Bo Li, Yanzhang He, Philip C. Woodland, Liangliang Cao, Trevor Strohman:
Confidence Estimation for Attention-Based Sequence-to-Sequence Models for Speech Recognition. ICASSP 2021: 6388-6392 - [c19]W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman:
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. Interspeech 2021: 2002-2006 - [c18]Ke Hu, Ruoming Pang, Tara N. Sainath, Trevor Strohman:
Transformer Based Deliberation for Two-Pass Speech Recognition. SLT 2021: 68-74 - 2020
- [c17]Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. ICASSP 2020: 6059-6063 - [c16]Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Ruoming Pang, Yanzhang He, Trevor Strohman, Yonghui Wu:
Towards Fast and Accurate Streaming End-To-End ASR. ICASSP 2020: 6069-6073 - [c15]Tara N. Sainath, Ruoming Pang, Ron J. Weiss, Yanzhang He, Chung-Cheng Chiu, Trevor Strohman:
An Attention-Based Joint Acoustic and Text on-Device End-To-End Model. ICASSP 2020: 7039-7043 - [c14]Shuo-Yiin Chang, Bo Li, David Rybach, Yanzhang He, Wei Li, Tara N. Sainath, Trevor Strohman:
Low Latency Speech Recognition Using End-to-End Prefetching. INTERSPEECH 2020: 1962-1966 - [c13]Tara N. Sainath, Ruoming Pang, David Rybach, Basi García, Trevor Strohman:
Emitting Word Timings with End-to-End Models. INTERSPEECH 2020: 3615-3619 - 2019
- [c12]Arun Narayanan, Rohit Prabhavalkar, Chung-Cheng Chiu, David Rybach, Tara N. Sainath, Trevor Strohman:
Recognizing Long-Form Speech Using Streaming End-to-End Models. ASRU 2019: 920-927 - [c11]Tara N. Sainath, Ruoming Pang, David Rybach, Yanzhang He, Rohit Prabhavalkar, Wei Li, Mirkó Visontai, Qiao Liang, Trevor Strohman, Yonghui Wu, Ian McGraw, Chung-Cheng Chiu:
Two-Pass End-to-End Speech Recognition. INTERSPEECH 2019: 2773-2777 - 2018
- [c10]Arun Narayanan, Ananya Misra, Khe Chai Sim, Golan Pundak, Anshuman Tripathi, Mohamed Elfeky, Parisa Haghani, Trevor Strohman, Michiel Bacchiani:
Toward Domain-Invariant Speech Recognition via Large Scale Training. SLT 2018: 441-447 - 2015
- [c9]Zhenzhen Kou, Daisy Stanton, Fuchun Peng, Françoise Beaufays, Trevor Strohman:
Fix it where it fails: Pronunciation learning by mining error corrections from speech logs. ICASSP 2015: 4619-4623 - 2008
- [c8]Donald Metzler, Trevor Strohman, W. Bruce Croft:
A Statistical View of Binned Retrieval Models. ECIR 2008: 175-186 - 2007
- [c7]Trevor Strohman, W. Bruce Croft:
Efficient document retrieval in main memory. SIGIR 2007: 175-182 - [c6]Trevor Strohman, W. Bruce Croft, David D. Jensen:
Recommending citations for academic papers. SIGIR 2007: 705-706 - 2006
- [c5]Donald Metzler, Trevor Strohman, W. Bruce Croft:
Indri TREC Notebook 2006: Lessons Learned From Three Terabyte Tracks. TREC 2006 - 2005
- [c4]Trevor Strohman, Howard R. Turtle, W. Bruce Croft:
Optimization strategies for complex queries. SIGIR 2005: 219-225 - [c3]Donald Metzler, Fernando Diaz, Trevor Strohman, W. Bruce Croft:
UMass Robust 2005: Using Mixtures of Relevance Models for Query Expansion. TREC 2005 - [c2]Donald Metzler, Trevor Strohman, Yun Zhou, W. Bruce Croft:
Indri at TREC 2005: Terabyte Track. TREC 2005 - 2004
- [c1]Donald Metzler, Trevor Strohman, Howard R. Turtle, W. Bruce Croft:
Indri at TREC 2004: Terabyte Track. TREC 2004
Parts in Books or Collections
- 2017
- [p1]Michiel Bacchiani, Françoise Beaufays, Alexander Gruenstein, Pedro J. Moreno, Johan Schalkwyk, Trevor Strohman, Heiga Zen:
Speech Research at Google to Enable Universal Speech Interfaces. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 385-399
Informal and Other Publications
- 2024
- [i36]Junwen Bai, Bo Li, Qiujia Li, Tara N. Sainath, Trevor Strohman:
Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. CoRR abs/2401.08992 (2024) - 2023
- [i35]Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman:
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. CoRR abs/2301.07851 (2023) - [i34]Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays:
Efficient Domain Adaptation for Speech Foundation Models. CoRR abs/2302.01496 (2023) - [i33]Ke Hu, Tara N. Sainath, Bo Li, Nan Du, Yanping Huang, Andrew M. Dai, Yu Zhang, Rodrigo Cabrera, Zhifeng Chen, Trevor Strohman:
Massively Multilingual Shallow Fusion with Large Language Models. CoRR abs/2302.08917 (2023) - [i32]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Shuo-Yiin Chang:
UML: A Universal Monolingual Output Layer for Multilingual ASR. CoRR abs/2302.11186 (2023) - [i31]Yu Zhang, Wei Han, James Qin, Yongqiang Wang, Ankur Bapna, Zhehuai Chen, Nanxin Chen, Bo Li, Vera Axelrod, Gary Wang, Zhong Meng, Ke Hu, Andrew Rosenberg, Rohit Prabhavalkar, Daniel S. Park, Parisa Haghani, Jason Riesa, Ginger Perng, Hagen Soltau, Trevor Strohman, Bhuvana Ramabhadran, Tara N. Sainath, Pedro J. Moreno, Chung-Cheng Chiu, Johan Schalkwyk, Françoise Beaufays, Yonghui Wu:
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. CoRR abs/2303.01037 (2023) - [i30]Rami Botros, Anmol Gulati, Tara N. Sainath, Krzysztof Choromanski, Ruoming Pang, Trevor Strohman, Weiran Wang, Jiahui Yu:
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR. CoRR abs/2304.00171 (2023) - [i29]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, Ahmad Beirami:
Controlled Decoding from Language Models. CoRR abs/2310.17022 (2023) - 2022
- [i28]W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor Strohman, Shankar Kumar:
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. CoRR abs/2203.05008 (2022) - [i27]Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo, Trevor Strohman:
Pseudo Label Is Better Than Human Label. CoRR abs/2203.12668 (2022) - [i26]Shaojin Ding, Weiran Wang, Ding Zhao, Tara N. Sainath, Yanzhang He, Robert David, Rami Botros, Xin Wang, Rina Panigrahy, Qiao Liang, Dongseong Hwang, Ian McGraw, Rohit Prabhavalkar, Trevor Strohman:
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. CoRR abs/2204.06164 (2022) - [i25]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, David Rybach:
Improving Rare Word Recognition with LM-aware MWER Training. CoRR abs/2204.07553 (2022) - [i24]Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar, Trevor Strohman, Sepand Mavandadi, Weiran Wang:
Improving Deliberation by Text-Only and Semi-Supervised Training. CoRR abs/2206.14716 (2022) - [i23]Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Trevor Strohman, Qiao Liang, Yanzhang He:
Turn-Taking Prediction for Natural Conversational Speech. CoRR abs/2208.13321 (2022) - [i22]Shuo-Yiin Chang, Guru Prakash, Zelin Wu, Qiao Liang, Tara N. Sainath, Bo Li, Adam Stambler, Shyam Upadhyay, Manaal Faruqui, Trevor Strohman:
Streaming Intended Query Detection using E2E Modeling for Continued Conversation. CoRR abs/2208.13322 (2022) - [i21]Bo Li, Tara N. Sainath, Ruoming Pang, Shuo-Yiin Chang, Qiumin Xu, Trevor Strohman, Vince Chen, Qiao Liang, Heguang Liu, Yanzhang He, Parisa Haghani, Sameer Bidichandani:
A Language Agnostic Multilingual Streaming On-Device ASR System. CoRR abs/2208.13916 (2022) - [i20]Chao Zhang, Bo Li, Tara N. Sainath, Trevor Strohman, Sepand Mavandadi, Shuo-Yiin Chang, Parisa Haghani:
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification. CoRR abs/2209.06058 (2022) - [i19]Dongseong Hwang, Khe Chai Sim, Yu Zhang, Trevor Strohman:
Comparison of Soft and Hard Target RNN-T Distillation for Large-scale ASR. CoRR abs/2210.05793 (2022) - [i18]Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman:
JOIST: A Joint Speech and Text Streaming Model For ASR. CoRR abs/2210.07353 (2022) - [i17]Zhong Meng, Tongzhou Chen, Rohit Prabhavalkar, Yu Zhang, Gary Wang, Kartik Audhkhasi, Jesse Emond, Trevor Strohman, Bhuvana Ramabhadran, W. Ronny Huang, Ehsan Variani, Yinghui Huang, Pedro J. Moreno:
Modular Hybrid Autoregressive Transducer. CoRR abs/2210.17049 (2022) - [i16]Zhouyuan Huo, Khe Chai Sim, Bo Li, Dongseong Hwang, Tara N. Sainath, Trevor Strohman:
Resource-Efficient Transfer Learning From Speech Foundation Model Using Hierarchical Feature Fusion. CoRR abs/2211.02712 (2022) - [i15]W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman:
E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. CoRR abs/2211.15432 (2022) - 2021
- [i14]Ke Hu, Ruoming Pang, Tara N. Sainath, Trevor Strohman:
Transformer Based Deliberation for Two-Pass Speech Recognition. CoRR abs/2101.11577 (2021) - [i13]W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman:
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. CoRR abs/2104.04552 (2021) - [i12]Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays:
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device. CoRR abs/2110.00155 (2021) - [i11]Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He:
Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning. CoRR abs/2110.00165 (2021) - [i10]Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays:
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. CoRR abs/2110.02220 (2021) - [i9]Zhiyun Lu, Yanwei Pan, Thibault Doutre, Liangliang Cao, Rohit Prabhavalkar, Chao Zhang, Trevor Strohman:
Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition. CoRR abs/2110.03841 (2021) - 2020
- [i8]Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Minho Jin, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. CoRR abs/2003.12710 (2020) - [i7]Qiujia Li, David Qiu, Yu Zhang, Bo Li, Yanzhang He, Philip C. Woodland, Liangliang Cao, Trevor Strohman:
Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition. CoRR abs/2010.11428 (2020) - [i6]Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman:
Cascaded encoders for unifying streaming and non-streaming ASR. CoRR abs/2010.14606 (2020) - [i5]Bo Li, Anmol Gulati, Jiahui Yu, Tara N. Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu:
A Better and Faster End-to-End Model for Streaming ASR. CoRR abs/2011.10798 (2020) - [i4]Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath:
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. CoRR abs/2012.06749 (2020) - 2019
- [i3]Tara N. Sainath, Ruoming Pang, David Rybach, Yanzhang He, Rohit Prabhavalkar, Wei Li, Mirkó Visontai, Qiao Liang, Trevor Strohman, Yonghui Wu, Ian McGraw, Chung-Cheng Chiu:
Two-Pass End-to-End Speech Recognition. CoRR abs/1908.10992 (2019) - [i2]Arun Narayanan, Rohit Prabhavalkar, Chung-Cheng Chiu, David Rybach, Tara N. Sainath, Trevor Strohman:
Recognizing long-form speech using streaming end-to-end models. CoRR abs/1910.11455 (2019) - 2018
- [i1]Arun Narayanan, Ananya Misra, Khe Chai Sim, Golan Pundak, Anshuman Tripathi, Mohamed Elfeky, Parisa Haghani, Trevor Strohman, Michiel Bacchiani:
Toward domain-invariant speech recognition via large scale training. CoRR abs/1808.05312 (2018)
Coauthor Index
[c53] [c51] [c50] [c49] [c48] [c46] [c45] [c44] [c43] [c40] [c39] [c38] [c37] [c35] [c34] [c33] [c32] [c31] [c29] [c27] [c24] [c23] [c22] [c21] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i28] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i18] [i16] [i15] [i14] [i13] [i8] [i6] [i5] [i4] [i3] [i2]
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last updated on 2024-09-04 01:25 CEST by the dblp team
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