Jonathan Shen

According to our database, Jonathan Shen authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TRACE: A Time-Relational Approximate Cubing Engine for Fast Data Insights.

Suharsh Sivakumar, Jonathan Shen, Rajat Monga

CoRR, 2024

2022

Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks.

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

Proceedings of the Interspeech 2022, 2022

Examining Scaling and Transfer of Language Model Architectures for Machine Translation.

Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat

Proceedings of the International Conference on Machine Learning, 2022

2021

Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling.

Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Jia Ye, R. J. Skerry-Ryan, Yonghui Wu

CoRR, 2021

PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS.

Ye Jia, Heiga Zen, Jonathan Shen, Yu Zhang, Yonghui Wu

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling.

Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, R. J. Skerry-Ryan, Yonghui Wu

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Parallel Tacotron: Non-Autoregressive and Controllable TTS.

Isaac Elias, Heiga Zen, Jonathan Shen, Yu Zhang, Ye Jia, Ron J. Weiss, Yonghui Wu

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling.

Jonathan Shen, Ye Jia, Mike Chrzanowski, Yu Zhang, Isaac Elias, Heiga Zen, Yonghui Wu

CoRR, 2020

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, 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

CoRR, 2019

Hierarchical Generative Modeling for Controllable Speech Synthesis.

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

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis.

Ye Jia, Yu Zhang, Ron J. Weiss, Quan Wang, Jonathan Shen, Fei Ren, Zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio López-Moreno, Yonghui Wu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions.

Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, RJ-Skerrv Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions.

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

CoRR, 2017

2016

In Teacher We Trust: Learning Compressed Models for Pedestrian Detection.

Jonathan Shen, Noranart Vesdapunt, Vishnu Naresh Boddeti, Kris M. Kitani

CoRR, 2016