Brendan Shillingford
Brendan Shillingford
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Zitiert von
Zitiert von
Learning to learn by gradient descent by gradient descent
M Andrychowicz, M Denil, S Gomez, MW Hoffman, D Pfau, T Schaul, ...
Advances in neural information processing systems 29, 2016
Lipnet: End-to-end sentence-level lipreading
YM Assael, B Shillingford, S Whiteson, N De Freitas
arXiv preprint arXiv:1611.01599, 2016
Large-scale visual speech recognition
B Shillingford, Y Assael, MW Hoffman, T Paine, C Hughes, U Prabhu, ...
arXiv preprint arXiv:1807.05162, 2018
Sample efficient adaptive text-to-speech
Y Chen, Y Assael, B Shillingford, D Budden, S Reed, H Zen, Q Wang, ...
arXiv preprint arXiv:1809.10460, 2018
Recurrent neural network transducer for audio-visual speech recognition
T Makino, H Liao, Y Assael, B Shillingford, B Garcia, O Braga, O Siohan
2019 IEEE automatic speech recognition and understanding workshop (ASRU …, 2019
Cortical microcircuits as gated-recurrent neural networks
R Costa, IA Assael, B Shillingford, N de Freitas, T Vogels
Advances in neural information processing systems 30, 2017
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations
P Blunsom, OM Camburu, T Lukasiewicz, B Shillingford
Restoring and attributing ancient texts using deep neural networks
Y Assael, T Sommerschield, B Shillingford, M Bordbar, J Pavlopoulos, ...
Nature 603 (7900), 280-283, 2022
Speech bandwidth extension with wavenet
A Gupta, B Shillingford, Y Assael, TC Walters
2019 IEEE workshop on applications of signal processing to audio and …, 2019
Large-scale multilingual audio visual dubbing
Y Yang, B Shillingford, Y Assael, M Wang, W Liu, Y Chen, Y Zhang, ...
arXiv preprint arXiv:2011.03530, 2020
More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech
M Hassid, MT Ramanovich, B Shillingford, M Wang, Y Jia, T Remez
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Recovering missing characters in old Hawaiian writing
B Shillingford, ŌP Jones
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Visual speech recognition by phoneme prediction
B Shillingford, IA Assael, JFG de Freitas
US Patent 11,386,900, 2022
Sample-efficient adaptive text-to-speech
Y Chen, SE Reed, AGA van den Oord, O Vinyals, H Zen, IA Assael, ...
US Patent 10,810,993, 2020
Bandwidth extension of incoming data using neural networks
IA Assael, TC Walters, A Gupta, B Shillingford
US Patent App. 17/607,797, 2022
Composing RNNs and FSTs for Small Data: Recovering Missing Characters in Old Hawaiian Text
O Parker Jones, B Shillingford
arXiv e-prints, arXiv: 2208.10248, 2022
Interactive decoding of words from visual speech recognition models
B Shillingford, Y Assael, M Denil
arXiv preprint arXiv:2107.00692, 2021
“Dictionary Wars”: An Inverted, Leaderboard-Driven Project for Learning Dictionary Data Structures
K Karpierz, J Kitching, B Shillingford, E Patitsas, SA Wolfman
Proc. of the Tech. Symp. on CS Ed, 740-740, 2013
Sample-efficient adaptive text-to-speech
Y Chen, SE Reed, AGA van den Oord, O Vinyals, H Zen, IA Assael, ...
US Patent 11,355,097, 2022
Cross-modal sequence distillation
B Shillingford, IA Assael, JFG de Freitas
US Patent 11,250,838, 2022
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