Yu Zhang
Yu Zhang
Google
Verified email at csail.mit.edu - Homepage
Title
Cited by
Cited by
Year
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
6272018
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
406*2014
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
3592019
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
3172017
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
2462014
Highway long short-term memory rnns for distant speech recognition
Y Zhang, G Chen, D Yu, K Yaco, S Khudanpur, J Glass
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
2402016
Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis
Y Wang, D Stanton, Y Zhang, RJ Skerry-Ryan, E Battenberg, J Shor, ...
arXiv preprint arXiv:1803.09017, 2018
1762018
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, 4480-4490, 2018
1712018
Unsupervised learning of disentangled and interpretable representations from sequential data
WN Hsu, Y Zhang, J Glass
Advances in neural information processing systems, 1878-1889, 2017
1592017
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
1582017
Training rnns as fast as cnns
T Lei, Y Zhang, Y Artzi
1352018
Deep beamforming networks for multi-channel speech recognition
X Xiao, S Watanabe, H Erdogan, L Lu, J Hershey, ML Seltzer, G Chen, ...
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
1092016
Simple recurrent units for highly parallelizable recurrence
T Lei, Y Zhang, SI Wang, H Dai, Y Artzi
arXiv preprint arXiv:1709.02755, 2017
962017
I-Vector Based Clustering Training Data in Speech Recognition
Q Huo, ZJ Yan, Y Zhang, J Xu
US Patent App. 13/640,804, 2015
862015
Learning latent representations for speech generation and transformation
WN Hsu, Y Zhang, J Glass
arXiv preprint arXiv:1704.04222, 2017
782017
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
652019
Extracting deep neural network bottleneck features using low-rank matrix factorization
Y Zhang, E Chuangsuwanich, J Glass
2014 IEEE international conference on acoustics, speech and signal …, 2014
632014
Unsupervised domain adaptation for robust speech recognition via variational autoencoder-based data augmentation
WN Hsu, Y Zhang, J Glass
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 16-23, 2017
622017
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
572018
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
482019
The system can't perform the operation now. Try again later.
Articles 1–20