Jonathan Shen

20 papers A* 2A 3Misc 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
TRACE: A Time-Relational Approximate Cubing Engine for Fast Data Insights.
CoRR
Suharsh Sivakumar, Jonathan Shen, Rajat Monga
2022 A* conf
Examining Scaling and Transfer of Language Model Architectures for Machine Translation.
ICML
Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat
2022 J jnl
Examining Scaling and Transfer of Language Model Architectures for Machine Translation.
CoRR
Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat
2022 A conf
Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks.
INTERSPEECH
Lev Finkelstein, Heiga Zen, Norman Casagrande, Chun-an Chan, Ye Jia, Tom Kenter, Alexey Petelin, Jonathan Shen, Vincent Wan, Yu Zhang, Yonghui Wu, Rob Clark
2022 J jnl
Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks.
CoRR
Lev Finkelstein, Heiga Zen, Norman Casagrande, Chun-an Chan, Ye Jia, Tom Kenter, Alexey Petelin, Jonathan Shen, Vincent Wan, Yu Zhang, Yonghui Wu, Rob Clark
2021 A conf
Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling.
Interspeech
Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, R. J. Skerry-Ryan, Yonghui Wu
2021 J jnl
Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling.
CoRR
Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, R. J. Skerry-Ryan, Yonghui Wu
2021 Misc conf
Parallel Tacotron: Non-Autoregressive and Controllable TTS.
ICASSP
Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, Ron J. Weiss, Yonghui Wu
2021 A conf
PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS.
Interspeech
Ye Jia, Heiga Zen, Jonathan Shen, Yu Zhang, Yonghui Wu
2021 J jnl
PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS.
CoRR
Ye Jia, Heiga Zen, Jonathan Shen, Yu Zhang, Yonghui Wu
2020 J jnl
Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling.
CoRR
Jonathan Shen, Ye Jia, Mike Chrzanowski, Yu Zhang, Isaac Elias, Heiga Zen, Yonghui Wu
2020 J jnl
Parallel Tacotron: Non-Autoregressive and Controllable TTS.
CoRR
Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, Ron J. Weiss, Yonghui Wu
2019 — conf
Hierarchical Generative Modeling for Controllable Speech Synthesis.
ICLR (Poster)
Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang
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
2018 J jnl
Hierarchical Generative Modeling for Controllable Speech Synthesis.
CoRR
Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang
2018 Misc conf
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions.
ICASSP
Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu
2018 A* conf
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis.
NeurIPS
Ye Jia, Yu Zhang, Ron J. Weiss, Quan Wang, Jonathan Shen, Fei Ren, Zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio López-Moreno, Yonghui Wu
2018 J jnl
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis.
CoRR
Ye Jia, Yu Zhang, Ron J. Weiss, Quan Wang, Jonathan Shen, Fei Ren, Zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio López-Moreno, Yonghui Wu
2017 J jnl
Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions.
CoRR
Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, R. J. Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu
2016 J jnl
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection.
CoRR
Jonathan Shen, Noranart Vesdapunt, Vishnu Naresh Boddeti, Kris M. Kitani