Jonathan Shen
Jonathan Shen
Dirección de correo verificada de google.com
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Natural tts synthesis by conditioning wavenet on mel spectrogram predictions
J Shen, R Pang, RJ Weiss, M Schuster, N Jaitly, Z Yang, Z Chen, Y Zhang, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
7462018
Transfer learning from speaker verification to multispeaker text-to-speech synthesis
Y Jia, Y Zhang, R Weiss, Q Wang, J Shen, F Ren, P Nguyen, R Pang, ...
Advances in neural information processing systems 31, 4480-4490, 2018
2042018
SATzilla2012: Improved algorithm selection based on cost-sensitive classification models
L Xu, F Hutter, J Shen, HH Hoos, K Leyton-Brown
Proceedings of SAT Challenge, 57-58, 2012
812012
Hierarchical generative modeling for controllable speech synthesis
WN Hsu, Y Zhang, RJ Weiss, H Zen, Y Wu, Y Wang, Y Cao, Y Jia, Z Chen, ...
arXiv preprint arXiv:1810.07217, 2018
702018
Lingvo: a modular and scalable framework for sequence-to-sequence modeling
J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ...
arXiv preprint arXiv:1902.08295, 2019
662019
Neural program synthesis with priority queue training
DA Abolafia, M Norouzi, J Shen, R Zhao, QV Le
arXiv preprint arXiv:1801.03526, 2018
302018
In teacher we trust: Learning compressed models for pedestrian detection
J Shen, N Vesdapunt, VN Boddeti, KM Kitani
arXiv preprint arXiv:1612.00478, 2016
242016
Non-attentive tacotron: Robust and controllable neural TTS synthesis including unsupervised duration modeling
J Shen, Y Jia, M Chrzanowski, Y Zhang, I Elias, H Zen, Y Wu
arXiv preprint arXiv:2010.04301, 2020
22020
Synthesizing speech from text using neural networks
Y Wu, J Shen, R Pang, RJ Weiss
US Patent App. 16/058,640, 2020
12020
Modelling Intonation in Spectrograms for Neural Vocoder based Text-to-Speech
V Wan, J Shen, H Silen, R Clark
12020
Parallel Tacotron: Non-Autoregressive and Controllable TTS
I Elias, H Zen, J Shen, Y Zhang, Y Jia, R Weiss, Y Wu
arXiv preprint arXiv:2010.11439, 2020
2020
Proceedings of the Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES) 2019
D Castells-Rufas, C Bastoul
arXiv, arXiv: 1901.04797, 2019
2019
In Teacher We Trust: Deep Network Compression for Pedestrian Detection
J Shen, N Vesdapunt, VN Boddeti, KM Kitani
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Artículos 1–13