Wei-Ning Hsu
Wei-Ning Hsu
Facebook AI Research (FAIR)
Потвърден имейл адрес: csail.mit.edu - Начална страница
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Позовавания
Позовавания
Година
Unsupervised learning of disentangled and interpretable representations from sequential data
WN Hsu, Y Zhang, J Glass
arXiv preprint arXiv:1709.07902, 2017
2212017
Learning Latent Representations for Speech Generation and Transformation
WN Hsu, Y Zhang, J Glass
INTERSPEECH, 1273-1277, 2017
1032017
An unsupervised autoregressive model for speech representation learning
YA Chung, WN Hsu, H Tang, J Glass
INTERSPEECH, 2019
932019
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, ...
Seventh International Conference on Learning Representations (ICLR), 2019
902019
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
852019
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
842017
Active learning by learning
WN Hsu, HT Lin
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
712015
Multi-channel speech recognition: Lstms all the way through
H Erdogan, T Hayashi, JR Hershey, T Hori, C Hori, WN Hsu, S Kim, ...
CHiME-4 workshop, 1-4, 2016
612016
Semi-supervised training for improving data efficiency in end-to-end speech synthesis
YA Chung, Y Wang, WN Hsu, Y Zhang, RJ Skerry-Ryan
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
602019
Disentangling correlated speaker and noise for speech synthesis via data augmentation and adversarial factorization
WN Hsu, Y Zhang, RJ Weiss, YA Chung, Y Wang, Y Wu, J Glass
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
512019
Neural attention for learning to rank questions in community question answering
S Romeo, G Da San Martino, A Barrón-Cedeno, A Moschitti, Y Belinkov, ...
Proceedings of COLING 2016, the 26th International Conference on …, 2016
352016
Sls at semeval-2016 task 3: Neural-based approaches for ranking in community question answering
M Mohtarami, Y Belinkov, WN Hsu, Y Zhang, T Lei, K Bar, S Cyphers, ...
Proceedings of the 10th international workshop on semantic evaluation …, 2016
342016
Extracting domain invariant features by unsupervised learning for robust automatic speech recognition
WN Hsu, J Glass
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
302018
Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech
D Harwath, WN Hsu, J Glass
Eighth International Conference on Learning Representations (ICLR), 2020
292020
A prioritized grid long short-term memory RNN for speech recognition
WN Hsu, Y Zhang, J Glass
2016 IEEE Spoken Language Technology Workshop (SLT), 467-473, 2016
252016
Exploiting depth and highway connections in convolutional recurrent deep neural networks for speech recognition
WN Hsu, Y Zhang, A Lee, J Glass
INTERSPEECH, 2016
252016
Scalable factorized hierarchical variational autoencoder training
WN Hsu, J Glass
INTERSPEECH, 2018
212018
A study of enhancement, augmentation, and autoencoder methods for domain adaptation in distant speech recognition
H Tang, WN Hsu, F Grondin, J Glass
INTERSPEECH, 2018
172018
Disentangling by partitioning: A representation learning framework for multimodal sensory data
WN Hsu, J Glass
arXiv preprint arXiv:1805.11264, 2018
162018
Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, et al.,“Hierarchical generative modeling for controllable speech synthesis,”
WN Hsu, Y Zhang, RJ Weiss
arXiv preprint arXiv:1810.07217, 2018
142018
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