vHadoop: A Scalable Hadoop Virtual Cluster Platform for MapReduce-Based Parallel Machine Learning with Performance Consideration. - Kejiang Ye; Xiaohong Jiang 002; Yanzhang He; Xiang Li 017; Haiming Yan; Peng Huang (CLUSTER Workshops, 2012)

Efficient Segmental Conditional Random Fields for One-Pass Phone Recognition. - Yanzhang He; Eric Fosler-Lussier (INTERSPEECH, 2012)

HPACS: A High Privacy and Availability Cloud Storage Platform with Matrix Encryption. - Yanzhang He; Xiaohong Jiang 002; Kejiang Ye; Ran Ma; Xiang Li 017 (APPT, 2013)

Conditional Random Fields in Speech, Audio, and Language Processing. - Eric Fosler-Lussier; Yanzhang He; Preethi Jyothi; Rohit Prabhavalkar (Proc. IEEE, 2013)

Scalability Analysis and Improvement of Hadoop Virtual Cluster with Cost Consideration. - Yanzhang He; Xiaohong Jiang 002; Zhaohui Wu 001; Kejiang Ye; Zhongzhong Chen (IEEE CLOUD, 2014)

Virtual Machine Scheduling Considering Both Computing and Cooling Energy. - Xiang Li 017; Xiaohong Jiang 002; Yanzhang He (HPCC/CSS/ICESS, 2014)

Subword-based modeling for handling OOV words inkeyword spotting. - Yanzhang He; Brian Hutchinson; Peter Baumann 003; Mari Ostendorf; Eric Fosler-Lussier; Janet B. Pierrehumbert (ICASSP, 2014)

Syllable based keyword search: Transducing syllable lattices to word lattices. - Hang Su; James Hieronymus; Yanzhang He; Eric Fosler-Lussier; Steven Wegmann (SLT, 2014)

Combining spectral feature mapping and multi-channel model-based source separation for noise-robust automatic speech recognition. - Deblin Bagchi; Michael I. Mandel; Zhongqiu Wang 001; Yanzhang He; Andrew R. Plummer; Eric Fosler-Lussier (ASRU, 2015)

Improvements on transducing syllable lattice to word lattice for keyword search. - Hang Su; Van Tung Pham; Yanzhang He; James Hieronymus (ICASSP, 2015)

Deep neural network based spectral feature mapping for robust speech recognition. - Kun Han; Yanzhang He; Deblin Bagchi; Eric Fosler-Lussier; DeLiang Wang (INTERSPEECH, 2015)

Segmental conditional random fields with deep neural networks as acoustic models for first-pass word recognition. - Yanzhang He; Eric Fosler-Lussier (INTERSPEECH, 2015)

Using Pronunciation-Based Morphological Subword Units to Improve OOV Handling in Keyword Search. - Yanzhang He; Peter Baumann 003; Hao Fang 002; Brian Hutchinson; Aaron Jaech; Mari Ostendorf; Eric Fosler-Lussier; Janet B. Pierrehumbert (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Self-adaptive Failure Detector for Peer-to-Peer Distributed System Considering the Link Faults. - Yanzhang He; Xiaohong Jiang 002; Changbo Dai; Zikun Fan (APPT, 2017)

Streaming small-footprint keyword spotting using sequence-to-sequence models. - Yanzhang He; Rohit Prabhavalkar; Kanishka Rao; Wei Li 133; Anton Bakhtin; Ian McGraw (ASRU, 2017)

Joint Endpointing and Decoding with End-to-end Models. - Shuo-Yiin Chang; Rohit Prabhavalkar; Yanzhang He; Tara N. Sainath; Gabor Simko (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)

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)

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)

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)

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

Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer. - Yuan Shangguan; Kate Knister; Yanzhang He; Ian McGraw; Françoise Beaufays (INTERSPEECH, 2020)

VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition. - Quan Wang; Ignacio López-Moreno; Mert Saglam; Kevin W. Wilson; Alan Chiao; Renjie Liu; Yanzhang He; Wei Li 133; Jason Pelecanos; Marily Nika; Alexander Gruenstein (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)

Cross-Attention Conformer for Context Modeling in Speech Enhancement for ASR. - Arun Narayanan; Chung-Cheng Chiu; Tom O'Malley; Quan Wang; Yanzhang He (ASRU, 2021)

Multi-User Voicefilter-Lite via Attentive Speaker Embedding. - Rajeev Rikhye; Quan Wang; Qiao Liang 001; Yanzhang He; Ian McGraw (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)

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)

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)

Learning Word-Level Confidence for Subword End-To-End ASR. - David Qiu; Qiujia Li; Yanzhang He; Yu Zhang 033; Bo Li 028; Liangliang Cao; Rohit Prabhavalkar; Deepti Bhatia; Wei Li 133; Ke Hu; Tara N. Sainath; Ian McGraw (ICASSP, 2021)

FastEmit: Low-Latency Streaming ASR with Sequence-Level Emission Regularization. - Jiahui Yu; Chung-Cheng Chiu; Bo Li 028; Shuo-Yiin Chang; Tara N. Sainath; Yanzhang He; Arun Narayanan; Wei Han 002; Anmol Gulati; Yonghui Wu; Ruoming Pang (ICASSP, 2021)

Tied & Reduced RNN-T Decoder. - Rami Botros; Tara N. Sainath; Robert David; Emmanuel Guzman; Wei Li 133; Yanzhang He (Interspeech, 2021)

Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction. - David Qiu; Yanzhang He; Qiujia Li; Yu Zhang 033; Liangliang Cao; Ian McGraw (Interspeech, 2021)

Personalized Keyphrase Detection Using Speaker and Environment Information. - Rajeev Rikhye; Quan Wang; Qiao Liang 001; Yanzhang He; Ding Zhao; Yiteng Huang; Arun Narayanan; Ian McGraw (Interspeech, 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)

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)

Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition. - Qiujia Li; Yu Zhang 033; David Qiu; Yanzhang He; Liangliang Cao; Philip C. Woodland (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)

4-bit Conformer with Native Quantization Aware Training for Speech Recognition. - Shaojin Ding; Phoenix Meadowlark; Yanzhang He; Lukasz Lew; Shivani Agrawal; Oleg Rybakov (INTERSPEECH, 2022)

Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition. - Shaojin Ding; Rajeev Rikhye; Qiao Liang 001; Yanzhang He; Quan Wang; Arun Narayanan; Tom O'Malley; Ian McGraw (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)

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)

Closing the Gap Between Single-User and Multi-User VoiceFilter-Lite. - Rajeev Rikhye; Quan Wang; Qiao Liang 001; Yanzhang He; Ian McGraw (Odyssey, 2022)

Unified End-to-End Speech Recognition and Endpointing for Fast and Efficient Speech Systems. - Shaan Bijwadia; Shuo-Yiin Chang; Bo Li 028; Tara N. Sainath; Chao Zhang 031; Yanzhang He (SLT, 2022)

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

Context-Aware Neural Confidence Estimation for Rare Word Speech Recognition. - David Qiu; Tsendsuren Munkhdalai; Yanzhang He; Khe Chai Sim (SLT, 2022)

Efficient Cascaded Streaming ASR System Via Frame Rate Reduction. - Xingyu Cai; David Qiu; Shaojin Ding; Dongseong Hwang; Weiran Wang; Antoine Bruguier; Rohit Prabhavalkar; Tara N. Sainath; Yanzhang He (ASRU, 2023)

The Role of Feature Correlation on Quantized Neural Networks. - David Qiu; Shaojin Ding; Yanzhang He (ASRU, 2023)

Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. - Steven M. Hernandez; Ding Zhao; Shaojin Ding; Antoine Bruguier; Rohit Prabhavalkar; Tara N. Sainath; Yanzhang He; Ian McGraw (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)

Conditional Conformer: Improving Speaker Modulation For Single And Multi-User Speech Enhancement. - Tom O'Malley; Shaojin Ding; Arun Narayanan; Quan Wang; Rajeev Rikhye; Qiao Liang 001; Yanzhang He; Ian McGraw (ICASSP, 2023)

Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. - Weiran Wang; Ding Zhao; Shaojin Ding; Hao Zhang 010; Shuo-Yiin Chang; David Rybach; Tara N. Sainath; Yanzhang He; Ian McGraw; Shankar Kumar (ICASSP, 2023)

2-bit Conformer quantization for automatic speech recognition. - Oleg Rybakov; Phoenix Meadowlark; Shaojin Ding; David Qiu; Jian Li; David Rim; Yanzhang He (INTERSPEECH, 2023)

RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models. - David Qiu; David Rim; Shaojin Ding; Oleg Rybakov; Yanzhang He (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)

Partial Rewriting for Multi-Stage ASR. - Antoine Bruguier; David Qiu; Yanzhang He (CoRR, 2023)

USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. - Shaojin Ding; David Qiu; David Rim; Yanzhang He; Oleg Rybakov; Bo Li 028; Rohit Prabhavalkar; Weiran Wang; Tara N. Sainath; Zhonglin Han; Jian Li; Amir Yazdanbakhsh; et al. (ICASSP, 2024)

Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models. - Rohit Prabhavalkar; Zhong Meng; Weiran Wang; Adam Stooke; Xingyu Cai; Yanzhang He; Arun Narayanan; Dongseong Hwang; Tara N. Sainath; Pedro J. Moreno 001 (ICASSP, 2024)

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)

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)

Rand: Robustness Aware Norm Decay for Quantized Neural Networks. - David Qiu; David Rim; Shaojin Ding; Oleg Rybakov; Yanzhang He (SLT, 2024)