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LipNet: How easy do you think lipreading is?

22:35, Thursday, 10 November, 2016
LipNet: How easy do you think lipreading is?

This work was carried out at the University of Oxford Computer Science Department by Yannis Assael, Brendan Shillingford, Prof Shimon Whiteson and Prof Nando de Freitas. We thank Google DeepMind, CIFAR, and NVIDIA for financial support. We also thank University of Sheffield, Jon Barker, Martin Cooke, Stuart Cunningham and Xu Shao for the GRID corpus dataset; Aine Jackson, Brittany Klug and Samantha Pugh for helping us measure the experienced lipreader baseline; Mitko Sabev for his phonetics guidance; Odysseas Votsis for his video production help; and Alex Graves and Oiwi Parker Jones for helpful comments.

LipNet is doing lipreading using Machine Learning, aiming to help those who are hard of hearing and can revolutionise speech recognition.

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