Rohit Prabhavalkar

139 papers A* 1A 23C 8Misc 36Journal 61Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers. CoRR Adam Stooke, Rohit Prabhavalkar, Khe Chai Sim, Pedro Moreno Mengibar
2025	Misc	`conf`	Weak-to-Strong Generalization in Speech Recognition. ICASSP Soheil Khorram, Qian Zhang, Rohit Prabhavalkar, Kartik Audhkhasi, Bhuvana Ramabhadran
2024	A*	`conf`	Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers. NeurIPS Adam Stooke, Rohit Prabhavalkar, Khe Chai Sim, Pedro Moreno Mengibar
2024	A	`conf`	Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. INTERSPEECH 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, Yanzhang He, Pedro Moreno Mengibar
2024	—	`conf`	Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. NAACL (Industry Track) Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar
2024	J	`jnl`	Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. CoRR Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar
2024	A	`conf`	Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping. INTERSPEECH Lun Wang, Om Thakkar, Zhong Meng, Nicole Rafidi, Rohit Prabhavalkar, Arun Narayanan
2024	J	`jnl`	Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping. CoRR Lun Wang, Om Thakkar, Zhong Meng, Nicole Rafidi, Rohit Prabhavalkar, Arun Narayanan
2024	J	`jnl`	End-to-End Speech Recognition: A Survey. IEEE ACM Trans. Audio Speech Lang. Process. Rohit Prabhavalkar, Takaaki Hori, Tara N. Sainath, Ralf Schlüter, Shinji Watanabe
2024	Misc	`conf`	Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. ICASSP Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno
2024	J	`jnl`	Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. CoRR Rohit Prabhavalkar, Zhong Meng, Weiran Wang, Adam Stooke, Xingyu Cai, Yanzhang He, Arun Narayanan, Dongseong Hwang, Tara N. Sainath, Pedro J. Moreno
2024	—	`conf`	Massive End-to-end Speech Recognition Models with Time Reduction. NAACL-HLT Weiran Wang, Rohit Prabhavalkar, Haozhe Shan, Zhong Meng, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Chengjian Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar
2024	A	`conf`	Text Injection for Neural Contextual Biasing. INTERSPEECH Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran
2024	J	`jnl`	Text Injection for Neural Contextual Biasing. CoRR Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran
2024	Misc	`conf`	USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. ICASSP Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Zhonglin Han, Jian Li, Amir Yazdanbakhsh, Shivani Agrawal
2023	Misc	`conf`	A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. ICASSP Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath
2023	J	`jnl`	A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. CoRR Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath
2023	J	`jnl`	Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. CoRR 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, Pedro Moreno Mengibar
2023	Misc	`conf`	Cross-Training: A Semi-Supervised Training Scheme for Speech Recognition. ICASSP Soheil Khorram, Anshuman Tripathi, Jaeyoung Kim, Han Lu, Qian Zhang, Rohit Prabhavalkar, Hasim Sak
2023	J	`jnl`	Dual Learning for Large Vocabulary On-Device ASR. CoRR Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho
2023	Misc	`conf`	E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. ICASSP W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman
2023	C	`conf`	Efficient Cascaded Streaming ASR System Via Frame Rate Reduction. ASRU Xingyu Cai, David Qiu, Shaojin Ding, Dongseong Hwang, Weiran Wang, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He
2023	J	`jnl`	End-to-End Speech Recognition: A Survey. CoRR Rohit Prabhavalkar, Takaaki Hori, Tara N. Sainath, Ralf Schlüter, Shinji Watanabe
2023	Misc	`conf`	From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. ICASSP Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman
2023	J	`jnl`	From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. CoRR Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman
2023	J	`jnl`	Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. CoRR 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
2023	A	`conf`	How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
2023	J	`jnl`	How to Estimate Model Transferability of Pre-Trained Speech Models? CoRR Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
2023	C	`conf`	Improved Long-Form Speech Recognition By Jointly Modeling The Primary And Non-Primary Speakers. ASRU Guru Prakash Arumugam, Shuo-Yiin Chang, Tara N. Sainath, Rohit Prabhavalkar, Quan Wang, Shaan Bijwadia
2023	J	`jnl`	Improved Long-Form Speech Recognition by Jointly Modeling the Primary and Non-primary Speakers. CoRR Guru Prakash Arumugam, Shuo-Yiin Chang, Tara N. Sainath, Rohit Prabhavalkar, Quan Wang, Shaan Bijwadia
2023	Misc	`conf`	Improving Contextual Biasing with Text Injection. ICASSP Tara N. Sainath, Rohit Prabhavalkar, Diamantino Caseiro, Pat Rondon, Cyril Allauzen
2023	A	`conf`	Improving Joint Speech-Text Representations Without Alignment. INTERSPEECH Cal Peyser, Zhong Meng, Rohit Prabhavalkar, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho, Ke Hu
2023	J	`jnl`	Improving Joint Speech-Text Representations Without Alignment. CoRR Cal Peyser, Zhong Meng, Ke Hu, Rohit Prabhavalkar, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho
2023	Misc	`conf`	JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. ICASSP Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran
2023	J	`jnl`	JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. CoRR Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran
2023	Misc	`conf`	Lego-Features: Exporting Modular Encoder Features for Streaming and Deliberation ASR. ICASSP Rami Botros, Rohit Prabhavalkar, Johan Schalkwyk, Ciprian Chelba, Tara N. Sainath, Françoise Beaufays
2023	J	`jnl`	Lego-Features: Exporting modular encoder features for streaming and deliberation ASR. CoRR Rami Botros, Rohit Prabhavalkar, Johan Schalkwyk, Ciprian Chelba, Tara N. Sainath, Françoise Beaufays
2023	J	`jnl`	Massive End-to-end Models for Short Search Queries. CoRR Weiran Wang, Rohit Prabhavalkar, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Zhong Meng, CJ Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar
2023	Misc	`conf`	Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. ICASSP Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw
2023	J	`jnl`	Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. CoRR Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw
2023	C	`conf`	The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning. ASRU Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
2023	J	`jnl`	The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning. CoRR Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
2023	J	`jnl`	USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech Recognition with Universal Speech Models. CoRR Shaojin Ding, David Qiu, David Rim, Yanzhang He, Oleg Rybakov, Bo Li, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Shivani Agrawal, Zhonglin Han, Jian Li, Amir Yazdanbakhsh
2022	A	`conf`	A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. INTERSPEECH 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
2022	J	`jnl`	A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. CoRR 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
2022	—	`conf`	Dual Learning for Large Vocabulary On-Device ASR. SLT Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho
2022	J	`jnl`	E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. CoRR W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman
2022	A	`conf`	E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. INTERSPEECH W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Rohit Prabhavalkar, Cal Peyser, Zhiyun Lu, Cyril Allauzen
2022	J	`jnl`	E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. CoRR W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Rohit Prabhavalkar, Tara N. Sainath, Cyril Allauzen, Cal Peyser, Zhiyun Lu
2022	A	`conf`	Improving Deliberation by Text-Only and Semi-Supervised Training. INTERSPEECH Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar, Trevor Strohman, Sepand Mavandadi, Weiran Wang
2022	J	`jnl`	Improving Deliberation by Text-Only and Semi-Supervised Training. CoRR Ke Hu, Tara N. Sainath, Yanzhang He, Rohit Prabhavalkar, Trevor Strohman, Sepand Mavandadi, Weiran Wang
2022	A	`conf`	Improving Rare Word Recognition with LM-aware MWER Training. INTERSPEECH 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
2022	J	`jnl`	Improving Rare Word Recognition with LM-aware MWER Training. CoRR 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
2022	Misc	`conf`	Improving The Latency And Quality Of Cascaded Encoders. ICASSP 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
2022	J	`jnl`	JOIST: A Joint Speech and Text Streaming Model For ASR. CoRR Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
2022	—	`conf`	JOIST: A Joint Speech and Text Streaming Model for ASR. SLT Tara N. Sainath, Rohit Prabhavalkar, Ankur Bapna, Yu Zhang, Zhouyuan Huo, Zhehuai Chen, Bo Li, Weiran Wang, Trevor Strohman
2022	—	`conf`	Modular Hybrid Autoregressive Transducer. SLT 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
2022	J	`jnl`	Modular Hybrid Autoregressive Transducer. CoRR 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
2022	Misc	`conf`	Neural-FST Class Language Model for End-to-End Speech Recognition. ICASSP Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer
2022	J	`jnl`	Neural-FST Class Language Model for End-to-End Speech Recognition. CoRR Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer
2021	J	`jnl`	A Neural Acoustic Echo Canceller Optimized Using An Automatic Speech Recognizer And Large Scale Synthetic Data. CoRR Nathan Howard, Alex Park, Turaj Zakizadeh Shabestary, Alexander Gruenstein, Rohit Prabhavalkar
2021	Misc	`conf`	A Neural Acoustic Echo Canceller Optimized Using An Automatic Speech Recognizer and Large Scale Synthetic Data. ICASSP Nathan Howard, Alex Park, Turaj Zakizadeh Shabestary, Alexander Gruenstein, Rohit Prabhavalkar
2021	Misc	`conf`	Cascaded Encoders for Unifying Streaming and Non-Streaming ASR. ICASSP Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman
2021	A	`conf`	Dissecting User-Perceived Latency of On-Device E2E Speech Recognition. Interspeech Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer
2021	J	`jnl`	Dissecting User-Perceived Latency of On-Device E2E Speech Recognition. CoRR Yuan Shangguan, Rohit Prabhavalkar, Hang Su, Jay Mahadeokar, Yangyang Shi, Jiatong Zhou, Chunyang Wu, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer
2021	J	`jnl`	Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For Latency. CoRR Yangyang Shi, Varun Nagaraja, Chunyang Wu, Jay Mahadeokar, Duc Le, Rohit Prabhavalkar, Alex Xiao, Ching-Feng Yeh, Julian Chan, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer
2021	A	`conf`	Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency. Interspeech Yangyang Shi, Varun Nagaraja, Chunyang Wu, Jay Mahadeokar, Duc Le, Rohit Prabhavalkar, Alex Xiao, Ching-Feng Yeh, Julian Chan, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer
2021	J	`jnl`	Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition. CoRR Zhiyun Lu, Yanwei Pan, Thibault Doutre, Liangliang Cao, Rohit Prabhavalkar, Chao Zhang, Trevor Strohman
2021	J	`jnl`	Learning Word-Level Confidence For Subword End-to-End ASR. CoRR David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw
2021	Misc	`conf`	Learning Word-Level Confidence for Subword End-To-End ASR. ICASSP David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw
2021	Misc	`conf`	Less is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. ICASSP Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath
2021	—	`conf`	RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. SLT Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
2021	Misc	`conf`	Replacing Human Audio with Synthetic Audio for on-Device Unspoken Punctuation Prediction. ICASSP Daria Soboleva, Ondrej Skopek, Márius Sajgalík, Victor Carbune, Felix Weissenberger, Julia Proskurnia, Bogdan Prisacari, Daniel Valcarce, Justin Lu, Rohit Prabhavalkar, Balint Miklos
2020	Misc	`conf`	A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. ICASSP 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
2020	J	`jnl`	A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. CoRR 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
2020	A	`conf`	Anti-Aliasing Regularization in Stacking Layers. INTERSPEECH Antoine Bruguier, Ananya Misra, Arun Narayanan, Rohit Prabhavalkar
2020	J	`jnl`	Cascaded encoders for unifying streaming and non-streaming ASR. CoRR Arun Narayanan, Tara N. Sainath, Ruoming Pang, Jiahui Yu, Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman
2020	Misc	`conf`	Deliberation Model Based Two-Pass End-To-End Speech Recognition. ICASSP Ke Hu, Tara N. Sainath, Ruoming Pang, Rohit Prabhavalkar
2020	J	`jnl`	Deliberation Model Based Two-Pass End-to-End Speech Recognition. CoRR Ke Hu, Tara N. Sainath, Ruoming Pang, Rohit Prabhavalkar
2020	J	`jnl`	Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. CoRR Rohit Prabhavalkar, Yanzhang He, David Rybach, Sean Campbell, Arun Narayanan, Trevor Strohman, Tara N. Sainath
2020	J	`jnl`	RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. CoRR Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
2020	J	`jnl`	Replacing Human Audio with Synthetic Audio for On-device Unspoken Punctuation Prediction. CoRR Daria Soboleva, Ondrej Skopek, Márius Sajgalík, Victor Carbune, Felix Weissenberger, Julia Proskurnia, Bogdan Prisacari, Daniel Valcarce, Justin Lu, Rohit Prabhavalkar, Balint Miklos
2019	C	`conf`	A Comparison of End-to-End Models for Long-Form Speech Recognition. ASRU Chung-Cheng Chiu, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang
2019	J	`jnl`	A comparison of end-to-end models for long-form speech recognition. CoRR Chung-Cheng Chiu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu
2019	Misc	`conf`	Joint Endpointing and Decoding with End-to-end Models. ICASSP Shuo-Yiin Chang, Rohit Prabhavalkar, Yanzhang He, Tara N. Sainath, Gabor Simko
2019	J	`jnl`	Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon
2019	J	`jnl`	Model Unit Exploration for Sequence-to-Sequence Speech Recognition. CoRR Kazuki Irie, Rohit Prabhavalkar, Anjuli Kannan, Antoine Bruguier, David Rybach, Patrick Nguyen
2019	A	`conf`	On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition. INTERSPEECH Kazuki Irie, Rohit Prabhavalkar, Anjuli Kannan, Antoine Bruguier, David Rybach, Patrick Nguyen
2019	Misc	`conf`	Phoebe: Pronunciation-aware Contextualization for End-to-end Speech Recognition. ICASSP Antoine Bruguier, Rohit Prabhavalkar, Golan Pundak, Tara N. Sainath
2019	A	`conf`	Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models. INTERSPEECH Ke Hu, Antoine Bruguier, Tara N. Sainath, Rohit Prabhavalkar, Golan Pundak
2019	J	`jnl`	Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models. CoRR Ke Hu, Antoine Bruguier, Tara N. Sainath, Rohit Prabhavalkar, Golan Pundak
2019	C	`conf`	Recognizing Long-Form Speech Using Streaming End-to-End Models. ASRU Arun Narayanan, Rohit Prabhavalkar, Chung-Cheng Chiu, David Rybach, Tara N. Sainath, Trevor Strohman
2019	J	`jnl`	Recognizing long-form speech using streaming end-to-end models. CoRR Arun Narayanan, Rohit Prabhavalkar, Chung-Cheng Chiu, David Rybach, Tara N. Sainath, Trevor Strohman
2019	Misc	`conf`	Streaming End-to-end Speech Recognition for Mobile Devices. ICASSP Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein
2019	A	`conf`	Two-Pass End-to-End Speech Recognition. INTERSPEECH 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
2019	J	`jnl`	Two-Pass End-to-End Speech Recognition. CoRR 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
2018	Misc	`conf`	An Analysis of Incorporating an External Language Model into a Sequence-to-Sequence Model. ICASSP Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Tara N. Sainath, Zhifeng Chen, Rohit Prabhavalkar
2018	A	`conf`	Compression of End-to-End Models. INTERSPEECH Ruoming Pang, Tara N. Sainath, Rohit Prabhavalkar, Suyog Gupta, Yonghui Wu, Shuyuan Zhang, Chung-Cheng Chiu
2018	—	`conf`	Deep Context: End-to-end Contextual Speech Recognition. SLT Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar, Anjuli Kannan, Ding Zhao
2018	J	`jnl`	Deep context: end-to-end contextual speech recognition. CoRR Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar, Anjuli Kannan, Ding Zhao
2018	J	`jnl`	Exploring Architectures, Data and Units For Streaming End-to-End Speech Recognition with RNN-Transducer. CoRR Kanishka Rao, Hasim Sak, Rohit Prabhavalkar
2018	Misc	`conf`	Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition. ICASSP Chris Donahue, Bo Li, Rohit Prabhavalkar
2018	—	`conf`	From Audio to Semantics: Approaches to End-to-End Spoken Language Understanding. SLT Parisa Haghani, Arun Narayanan, Michiel Bacchiani, Galen Chuang, Neeraj Gaur, Pedro J. Moreno, Rohit Prabhavalkar, Zhongdi Qu, Austin Waters
2018	J	`jnl`	From Audio to Semantics: Approaches to end-to-end spoken language understanding. CoRR Parisa Haghani, Arun Narayanan, Michiel Bacchiani, Galen Chuang, Neeraj Gaur, Pedro J. Moreno, Rohit Prabhavalkar, Zhongdi Qu, Austin Waters
2018	Misc	`conf`	Improving the Performance of Online Neural Transducer Models. ICASSP Tara N. Sainath, Chung-Cheng Chiu, Rohit Prabhavalkar, Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Zhifeng Chen
2018	Misc	`conf`	Minimum Word Error Rate Training for Attention-Based Sequence-to-Sequence Models. ICASSP Rohit Prabhavalkar, Tara N. Sainath, Yonghui Wu, Patrick Nguyen, Zhifeng Chen, Chung-Cheng Chiu, Anjuli Kannan
2018	Misc	`conf`	No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. ICASSP Tara N. Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach, Vlad Schogol, Patrick Nguyen, Bo Li, Yonghui Wu, Zhifeng Chen, Chung-Cheng Chiu
2018	Misc	`conf`	State-of-the-Art Speech Recognition with Sequence-to-Sequence Models. ICASSP Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Ekaterina Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani
2018	J	`jnl`	Streaming End-to-end Speech Recognition For Mobile Devices. CoRR Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein
2017	A	`conf`	A Comparison of Sequence-to-Sequence Models for Speech Recognition. INTERSPEECH Rohit Prabhavalkar, Kanishka Rao, Tara N. Sainath, Bo Li, Leif Johnson, Navdeep Jaitly
2017	A	`conf`	An Analysis of "Attention" in Sequence-to-Sequence Models. INTERSPEECH Rohit Prabhavalkar, Tara N. Sainath, Bo Li, Kanishka Rao, Navdeep Jaitly
2017	J	`jnl`	An analysis of incorporating an external language model into a sequence-to-sequence model. CoRR Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Tara N. Sainath, Zhifeng Chen, Rohit Prabhavalkar
2017	J	`jnl`	Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition. CoRR Chris Donahue, Bo Li, Rohit Prabhavalkar
2017	C	`conf`	Exploring architectures, data and units for streaming end-to-end speech recognition with RNN-transducer. ASRU Kanishka Rao, Hasim Sak, Rohit Prabhavalkar
2017	J	`jnl`	Improving the Performance of Online Neural Transducer Models. CoRR Tara N. Sainath, Chung-Cheng Chiu, Rohit Prabhavalkar, Anjuli Kannan, Yonghui Wu, Patrick Nguyen, Zhifeng Chen
2017	J	`jnl`	Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence Models. CoRR Rohit Prabhavalkar, Tara N. Sainath, Yonghui Wu, Patrick Nguyen, Zhifeng Chen, Chung-Cheng Chiu, Anjuli Kannan
2017	J	`jnl`	No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. CoRR Tara N. Sainath, Rohit Prabhavalkar, Shankar Kumar, Seungji Lee, Anjuli Kannan, David Rybach, Vlad Schogol, Patrick Nguyen, Bo Li, Yonghui Wu, Zhifeng Chen, Chung-Cheng Chiu
2017	J	`jnl`	State-of-the-art Speech Recognition With Sequence-to-Sequence Models. CoRR Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Katya Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani
2017	J	`jnl`	Streaming Small-Footprint Keyword Spotting using Sequence-to-Sequence Models. CoRR Yanzhang He, Rohit Prabhavalkar, Kanishka Rao, Wei Li, Anton Bakhtin, Ian McGraw
2017	C	`conf`	Streaming small-footprint keyword spotting using sequence-to-sequence models. ASRU Yanzhang He, Rohit Prabhavalkar, Kanishka Rao, Wei Li, Anton Bakhtin, Ian McGraw
2016	J	`jnl`	On the Compression of Recurrent Neural Networks with an Application to LVCSR acoustic modeling for Embedded Speech Recognition. CoRR Rohit Prabhavalkar, Ouais Alsharif, Antoine Bruguier, Ian McGraw
2016	A	`conf`	On the Efficient Representation and Execution of Deep Acoustic Models. INTERSPEECH Raziel Alvarez, Rohit Prabhavalkar, Anton Bakhtin
2016	Misc	`conf`	On the compression of recurrent neural networks with an application to LVCSR acoustic modeling for embedded speech recognition. ICASSP Rohit Prabhavalkar, Ouais Alsharif, Antoine Bruguier, Ian McGraw
2016	J	`jnl`	On the efficient representation and execution of deep acoustic models. CoRR Raziel Alvarez, Rohit Prabhavalkar, Anton Bakhtin
2016	J	`jnl`	Personalized Speech recognition on mobile devices. CoRR Ian McGraw, Rohit Prabhavalkar, Raziel Alvarez, Montse Gonzalez Arenas, Kanishka Rao, David Rybach, Ouais Alsharif, Hasim Sak, Alexander Gruenstein, Françoise Beaufays, Carolina Parada
2016	Misc	`conf`	Personalized speech recognition on mobile devices. ICASSP Ian McGraw, Rohit Prabhavalkar, Raziel Alvarez, Montse Gonzalez Arenas, Kanishka Rao, David Rybach, Ouais Alsharif, Hasim Sak, Alexander Gruenstein, Françoise Beaufays, Carolina Parada
2015	Misc	`conf`	Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks. ICASSP Rohit Prabhavalkar, Raziel Alvarez, Carolina Parada, Preetum Nakkiran, Tara N. Sainath
2015	A	`conf`	Compressing deep neural networks using a rank-constrained topology. INTERSPEECH Preetum Nakkiran, Raziel Alvarez, Rohit Prabhavalkar, Carolina Parada
2013	Misc	`conf`	An evaluation of posterior modeling techniques for phonetic recognition. ICASSP Rohit Prabhavalkar, Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadran, Dimitri Kanevsky
2013	J	`jnl`	Conditional Random Fields in Speech, Audio, and Language Processing. Proc. IEEE Eric Fosler-Lussier, Yanzhang He, Preethi Jyothi, Rohit Prabhavalkar
2013	Misc	`conf`	Discriminative articulatory models for spoken term detection in low-resource conversational settings. ICASSP Rohit Prabhavalkar, Karen Livescu, Eric Fosler-Lussier, Joseph Keshet
2012	Misc	`conf`	A chunk-based phonetic score for mobile voice search. ICASSP Rohit Prabhavalkar, Jasha Droppo
2012	—	`conf`	Discriminative spoken term detection with limited data. MLSLP Rohit Prabhavalkar, Joseph Keshet, Karen Livescu, Eric Fosler-Lussier
2011	C	`conf`	A factored conditional random field model for articulatory feature forced transcription. ASRU Rohit Prabhavalkar, Eric Fosler-Lussier, Karen Livescu
2011	A	`conf`	Articulatory Feature Classification Using Nearest Neighbors. INTERSPEECH Arild Brandrud Næss, Karen Livescu, Rohit Prabhavalkar
2010	Misc	`conf`	Backpropagation training for multilayer conditional random field based phone recognition. ICASSP Rohit Prabhavalkar, Eric Fosler-Lussier
2010	A	`conf`	Combining monaural and binaural evidence for reverberant speech segregation. INTERSPEECH John Woodruff, Rohit Prabhavalkar, Eric Fosler-Lussier, DeLiang Wang
2010	—	`conf`	Investigations into the Crandem Approach to Word Recognition. HLT-NAACL Rohit Prabhavalkar, Preethi Jyothi, William Hartmann, Jeremy Morris, Eric Fosler-Lussier
2009	A	`conf`	Monaural segregation of voiced speech using discriminative random fields. INTERSPEECH Rohit Prabhavalkar, Zhaozhang Jin, Eric Fosler-Lussier