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Yu Zhang
Yu Zhang
OpenAI
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Year
Specaugment: A simple data augmentation method for automatic speech recognition
DS Park, W Chan, Y Zhang, CC Chiu, B Zoph, ED Cubuk, QV Le
arXiv preprint arXiv:1904.08779, 2019
38182019
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
30492018
Conformer: Convolution-augmented transformer for speech recognition
A Gulati, J Qin, CC Chiu, N Parmar, Y Zhang, J Yu, W Han, S Wang, ...
arXiv preprint arXiv:2005.08100, 2020
27242020
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, 2018
9112018
Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis
Y Wang, D Stanton, Y Zhang, RJS Ryan, E Battenberg, J Shor, Y Xiao, ...
International conference on machine learning, 5180-5189, 2018
9052018
Libritts: A corpus derived from librispeech for text-to-speech
H Zen, V Dang, R Clark, Y Zhang, RJ Weiss, Y Jia, Z Chen, Y Wu
arXiv preprint arXiv:1904.02882, 2019
7502019
Wavegrad: Estimating gradients for waveform generation
N Chen, Y Zhang, H Zen, RJ Weiss, M Norouzi, W Chan
arXiv preprint arXiv:2009.00713, 2020
6392020
Very deep convolutional networks for end-to-end speech recognition
Y Zhang, W Chan, N Jaitly
2017 IEEE international conference on acoustics, speech and signal …, 2017
5532017
An introduction to computational networks and the computational network toolkit
MS Dong Yu, Adam Eversole, Mike Seltzer, Kaisheng Yao, Zhiheng Huang, Brian ...
Tech. Rep. MSR, Microsoft Research, 2014, http://codebox/cntk, 2014
468*2014
Unsupervised learning of disentangled and interpretable representations from sequential data
WN Hsu, Y Zhang, J Glass
Advances in neural information processing systems 30, 2017
4042017
Spoken language understanding using long short-term memory neural networks
K Yao, B Peng, Y Zhang, D Yu, G Zweig, Y Shi
IEEE SLT, 2014
4032014
Highway long short-term memory rnns for distant speech recognition
Y Zhang, G Chen, D Yu, K Yao, S Khudanpur, J Glass
2016 IEEE international conference on acoustics, speech and signal …, 2016
3602016
Advances in joint CTC-attention based end-to-end speech recognition with a deep CNN encoder and RNN-LM
T Hori, S Watanabe, Y Zhang, W Chan
arXiv preprint arXiv:1706.02737, 2017
3462017
W2v-bert: Combining contrastive learning and masked language modeling for self-supervised speech pre-training
YA Chung, Y Zhang, W Han, CC Chiu, J Qin, R Pang, Y Wu
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021
3302021
Pushing the limits of semi-supervised learning for automatic speech recognition
Y Zhang, J Qin, DS Park, W Han, CC Chiu, R Pang, QV Le, Y Wu
arXiv preprint arXiv:2010.10504, 2020
3292020
Simple recurrent units for highly parallelizable recurrence
T Lei, Y Zhang, SI Wang, H Dai, Y Artzi
arXiv preprint arXiv:1709.02755, 2017
3202017
ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech
X Wang, J Yamagishi, M Todisco, H Delgado, A Nautsch, N Evans, ...
Computer Speech & Language 64, 101114, 2020
3142020
Contextnet: Improving convolutional neural networks for automatic speech recognition with global context
W Han, Z Zhang, Y Zhang, J Yu, CC Chiu, J Qin, A Gulati, R Pang, Y Wu
arXiv preprint arXiv:2005.03191, 2020
2872020
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
2722018
Improved noisy student training for automatic speech recognition
DS Park, Y Zhang, Y Jia, W Han, CC Chiu, B Li, Y Wu, QV Le
arXiv preprint arXiv:2005.09629, 2020
2412020
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