Yu Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 147

Top Venues

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath
Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. ICASSP (2024)
W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath
Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. CoRR (2024)
Dongseong Hwang, Khe Chai Sim, Yu Zhang, Trevor Strohman
Comparison of Soft and Hard Target RNN-T Distillation for Large-Scale ASR. ICASSP (2023)
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)
Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. INTERSPEECH (2023)
Gary Wang, Kyle Kastner, Ankur Bapna, Zhehuai Chen, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang
Understanding Shared Speech-Text Representations. ICASSP (2023)
Ke Hu, Bo Li, Tara N. Sainath, Yu Zhang, Françoise Beaufays
Mixture-of-Expert Conformer for Streaming Multilingual ASR. INTERSPEECH (2023)
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 (2023)
Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH (2023)
Yong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna
SLAM: Multitask, Multilingual Speech and Language Models. ICML (2023)
Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, Ankur Bapna, Zalán Borsos, Félix de Chaumont Quitry, Peter Chen, Dalia El Badawy, Wei Han, Eugene Kharitonov, Hannah Muckenhirn, Dirk Padfield, James Qin, Danny Rozenberg, Tara N. Sainath, Johan Schalkwyk, Matthew Sharifi, Michelle Tadmor Ramanovich, Marco Tagliasacchi, Alexandru Tudor, Mihajlo Velimirovic, Damien Vincent, Jiahui Yu, Yongqiang Wang, Vicky Zayats, Neil Zeghidour, Yu Zhang, Zhishuai Zhang, Lukas Zilka, Christian Havnø Frank
AudioPaLM: A Large Language Model That Can Speak and Listen. CoRR (2023)
Nanxin Chen, Izhak Shafran, Yu Zhang, Chung-Cheng Chiu, Hagen Soltau, James Qin, Yonghui Wu
Efficient Adapters for Giant Speech Models. CoRR (2023)
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)
Yuan Gao, Nobuyuki Morioka, Yu Zhang, Nanxin Chen
E3 TTS: Easy End-to-End Diffusion-Based Text To Speech. ASRU (2023)
Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu
SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. ASRU (2023)
Zhong Meng, Weiran Wang, Rohit Prabhavalkar, Tara N. Sainath, Tongzhou Chen, Ehsan Variani, Yu Zhang, Bo Li, Andrew Rosenberg, Bhuvana Ramabhadran
JEIT: Joint End-to-End Model and Internal Language Model Training for Speech Recognition. ICASSP (2023)
Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Yu Zhang, Wei Han, Ankur Bapna, Michiel Bacchiani
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations. WASPAA (2023)
Shikhar Bharadwaj, Min Ma, Shikhar Vashishth, Ankur Bapna, Sriram Ganapathy, Vera Axelrod, Siddharth Dalmia, Wei Han, Yu Zhang, Daan van Esch, Sandy Ritchie, Partha Talukdar, Jason Riesa
Multimodal Modeling For Spoken Language Identification. CoRR (2023)
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 (2023)
Takaaki Saeki, Heiga Zen, Zhehuai Chen, Nobuyuki Morioka, Gary Wang, Yu Zhang, Ankur Bapna, Andrew Rosenberg, Bhuvana Ramabhadran
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-to-Speech. ICASSP (2023)
Zhehuai Chen, Ankur Bapna, Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran, Pedro J. Moreno, Nanxin Chen
Maestro-U: Leveraging joint speech-text representation learning for zero supervised speech ASR. CoRR (2022)
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 (2022)
Ye Jia, Yifan Ding, Ankur Bapna, Colin Cherry, Yu Zhang, Alexis Conneau, Nobuyuki Morioka
Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation. CoRR (2022)
Zhehuai Chen, Yu Zhang, Andrew Rosenberg, Bhuvana Ramabhadran, Pedro J. Moreno, Gary Wang
Tts4pretrain 2.0: Advancing the use of Text and Speech in ASR Pretraining with Consistency and Contrastive Losses. ICASSP (2022)
Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath
Joint Unsupervised and Supervised Training for Multilingual ASR. ICASSP (2022)
Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson
XTREME-S: Evaluating Cross-lingual Speech Representations. CoRR (2022)
Zhehuai Chen, Ankur Bapna, Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran, Pedro J. Moreno, Nanxin Chen
Maestro-U: Leveraging Joint Speech-Text Representation Learning for Zero Supervised Speech ASR. SLT (2022)
Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 16 (6) (2022)
Ye Jia, Yifan Ding, Ankur Bapna, Colin Cherry, Yu Zhang, Alexis Conneau, Nobu Morioka
Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation. INTERSPEECH (2022)
Alexis Conneau, Min Ma, Simran Khanuja, Yu Zhang, Vera Axelrod, Siddharth Dalmia, Jason Riesa, Clara Rivera, Ankur Bapna
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech. CoRR (2022)
Zhehuai Chen, Yu Zhang, Andrew Rosenberg, Bhuvana Ramabhadran, Pedro J. Moreno, Ankur Bapna, Heiga Zen
MAESTRO: Matched Speech Text Representations through Modality Matching. INTERSPEECH (2022)
Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang
Universal Paralinguistic Speech Representations Using self-Supervised Conformers. ICASSP (2022)
Zhiyun Lu, Yongqiang Wang, Yu Zhang, Wei Han, Zhehuai Chen, Parisa Haghani
Unsupervised Data Selection via Discrete Speech Representation for ASR. INTERSPEECH (2022)
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)
Alexis Conneau, Ankur Bapna, Yu Zhang, Min Ma, Patrick von Platen, Anton Lozhkov, Colin Cherry, Ye Jia, Clara Rivera, Mihir Kale, Daan van Esch, Vera Axelrod, Simran Khanuja, Jonathan H. Clark, Orhan Firat, Michael Auli, Sebastian Ruder, Jason Riesa, Melvin Johnson
XTREME-S: Evaluating Cross-lingual Speech Representations. INTERSPEECH (2022)
Qiujia Li, Yu Zhang, David Qiu, Yanzhang He, Liangliang Cao, Philip C. Woodland
Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition. ICASSP (2022)
Nobuyuki Morioka, Heiga Zen, Nanxin Chen, Yu Zhang, Yifan Ding
Residual Adapters for Few-Shot Text-to-Speech Speaker Adaptation. CoRR (2022)
Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang, Nicolás Serrano
Reducing Domain mismatch in Self-supervised speech pre-training. INTERSPEECH (2022)
Murali Karthick Baskar, Andrew Rosenberg, Bhuvana Ramabhadran, Yu Zhang, Pedro J. Moreno
Ask2Mask: Guided Data Selection for Masked Speech Modeling. IEEE J. Sel. Top. Signal Process. 16 (6) (2022)
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)
Zhehuai Chen, Yu Zhang, Andrew Rosenberg, Bhuvana Ramabhadran, Pedro J. Moreno, Ankur Bapna, Heiga Zen
MAESTRO: Matched Speech Text Representations through Modality Matching. CoRR (2022)
Ankur Bapna, Colin Cherry, Yu Zhang, Ye Jia, Melvin Johnson, Yong Cheng, Simran Khanuja, Jason Riesa, Alexis Conneau
mSLAM: Massively multilingual joint pre-training for speech and text. CoRR (2022)
Takaaki Saeki, Heiga Zen, Zhehuai Chen, Nobuyuki Morioka, Gary Wang, Yu Zhang, Ankur Bapna, Andrew Rosenberg, Bhuvana Ramabhadran
Virtuoso: Massive Multilingual Speech-Text Joint Semi-Supervised Learning for Text-To-Speech. CoRR (2022)
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 (2022)
Alexis Conneau, Min Ma, Simran Khanuja, Yu Zhang, Vera Axelrod, Siddharth Dalmia, Jason Riesa, Clara Rivera, Ankur Bapna
FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech. SLT (2022)
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan
WaveGrad: Estimating Gradients for Waveform Generation. ICLR (2021)
Yu-An Chung, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, Yonghui Wu
W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. CoRR (2021)
Yu-An Chung, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, Yonghui Wu
w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. ASRU (2021)
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
Learning Word-Level Confidence For Subword End-to-End ASR. CoRR (2021)
Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, R. J. Skerry-Ryan, Yonghui Wu
Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling. Interspeech (2021)
Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, Ron J. Weiss, Yonghui Wu
Parallel Tacotron: Non-Autoregressive and Controllable TTS. ICASSP (2021)
Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models. CoRR (2021)
Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma, Junwen Bai
Scaling End-to-End Models for Large-Scale Multilingual ASR. ASRU (2021)
Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. SLT (2021)
David Qiu, Yanzhang He, Qiujia Li, Yu Zhang, Liangliang Cao, Ian McGraw
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction. CoRR (2021)
Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Jia Ye, R. J. Skerry-Ryan, Yonghui Wu
Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling. CoRR (2021)
Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR (2021)
William Chan, Daniel S. Park, Chris A. Lee, Yu Zhang, Quoc V. Le, Mohammad Norouzi
SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network. CoRR (2021)
Zhehuai Chen, Yu Zhang, Andrew Rosenberg, Bhuvana Ramabhadran, Gary Wang, Pedro J. Moreno
Injecting Text in Self-Supervised Speech Pretraining. ASRU (2021)
Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma
Scaling End-to-End Models for Large-Scale Multilingual ASR. CoRR (2021)
Ankur Bapna, Yu-An Chung, Nan Wu, Anmol Gulati, Ye Jia, Jonathan H. Clark, Melvin Johnson, Jason Riesa, Alexis Conneau, Yu Zhang
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training. CoRR (2021)
Zhehuai Chen, Andrew Rosenberg, Yu Zhang, Heiga Zen, Mohammadreza Ghodsi, Yinghui Huang, Jesse Emond, Gary Wang, Bhuvana Ramabhadran, Pedro J. Moreno
Semi-Supervision in ASR: Sequential MixMatch and Factorized TTS-Based Augmentation. Interspeech (2021)
Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath
Echo State Speech Recognition. CoRR (2021)
Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath
Echo State Speech Recognition. ICASSP (2021)
Ye Jia, Heiga Zen, Jonathan Shen, Yu Zhang, Yonghui Wu
PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS. CoRR (2021)
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, Najim Dehak, William Chan
WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis. Interspeech (2021)
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
Learning Word-Level Confidence for Subword End-To-End ASR. ICASSP (2021)
Qiujia Li, Yu Zhang, Bo Li, Liangliang Cao, Philip C. Woodland
Residual Energy-Based Models for End-to-End Speech Recognition. CoRR (2021)
Junwen Bai, Bo Li, Yu Zhang, Ankur Bapna, Nikhil Siddhartha, Khe Chai Sim, Tara N. Sainath
Joint Unsupervised and Supervised Training for Multilingual ASR. CoRR (2021)
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, Najim Dehak, William Chan
WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis. CoRR (2021)
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)
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CVPR (2020)
Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan
Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models. ICASSP (2020)
Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Andrew Rosenberg, Bhuvana Ramabhadran, Yonghui Wu
Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior. CoRR (2020)
Gary Wang, Andrew Rosenberg, Zhehuai Chen, Yu Zhang, Bhuvana Ramabhadran, Yonghui Wu, Pedro J. Moreno
Improving Speech Recognition Using Consistent Predictions on Synthesized Speech. ICASSP (2020)
Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao
Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data. CoRR (2020)
Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. CoRR (2020)
Yu Zhang, James Qin, Daniel S. Park, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Quoc V. Le, Yonghui Wu
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition. CoRR (2020)
Daniel S. Park, Yu Zhang, Chung-Cheng Chiu, Youzheng Chen, Bo Li, William Chan, Quoc V. Le, Yonghui Wu
Specaugment on Large Scale Datasets. ICASSP (2020)
Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. CoRR (2020)
Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Andrew Rosenberg, Bhuvana Ramabhadran, Yonghui Wu
Generating Diverse and Natural Text-to-Speech Samples Using a Quantized Fine-Grained VAE and Autoregressive Prosody Prior. ICASSP (2020)
Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang
Conformer: Convolution-augmented Transformer for Speech Recognition. CoRR (2020)
Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Yonghui Wu
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis. CoRR (2020)
Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang
Conformer: Convolution-augmented Transformer for Speech Recognition. INTERSPEECH (2020)
Zelin Wu, Bo Li, Yu Zhang, Petar S. Aleksic, Tara N. Sainath
Multistate Encoding with End-To-End Speech RNN Transducer Network. ICASSP (2020)
Jonathan Shen, Ye Jia, Mike Chrzanowski, Yu Zhang, Isaac Elias, Heiga Zen, Yonghui Wu
Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling. CoRR (2020)
Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan
A Large Scale Speech Sentiment Corpus. LREC (2020)
Guangzhi Sun, Yu Zhang, Ron J. Weiss, Yuan Cao, Heiga Zen, Yonghui Wu
Fully-Hierarchical Fine-Grained Prosody Modeling For Interpretable Speech Synthesis. ICASSP (2020)
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 (2020)
Andros Tjandra, Ruoming Pang, Yu Zhang, Shigeki Karita
Unsupervised Learning of Disentangled Speech Content and Style Representation. CoRR (2020)
Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu
ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. INTERSPEECH (2020)
Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le
Improved Noisy Student Training for Automatic Speech Recognition. CoRR (2020)
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 (2020)
Zhehuai Chen, Andrew Rosenberg, Yu Zhang, Gary Wang, Bhuvana Ramabhadran, Pedro J. Moreno
Improving Speech Recognition Using GAN-Based Speech Synthesis and Contrastive Unspoken Text Selection. INTERSPEECH (2020)
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan
WaveGrad: Estimating Gradients for Waveform Generation. CoRR (2020)
Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, Ron J. Weiss, Yonghui Wu
Parallel Tacotron: Non-Autoregressive and Controllable TTS. CoRR (2020)
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 (2020)
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)
Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le
Improved Noisy Student Training for Automatic Speech Recognition. INTERSPEECH (2020)
Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Zhifeng Chen, R. J. Skerry-Ryan, Ye Jia, Andrew Rosenberg, Bhuvana Ramabhadran
Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning. CoRR (2019)

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Publication Activity (10 Years)

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Yu Zhang