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Deep learning model for audio-visual speech recognition
LipNet is a deep neural network for audio-visual speech recognition (ASVR). It was created by University of Oxford researchers Yannis Assael, Brendan Shillingford
LipNet
Zimbabwean computer scientist
the Witwatersrand, Trinity College, Cambridge Known for Machine learning LipNet Scientific career Fields Computer science Institutions University of British
Nando_de_Freitas
Automatic conversion of spoken language into text
success in Mandarin and English. In 2016, the University of Oxford presented LipNet, the first end-to-end sentence-level lipreading model, using spatiotemporal
Speech_recognition
expected in 2017. 5 November – The University of Oxford AI Lab presents "LipNet", a new AI algorithm capable of lip-reading up to 40% more accurately than
2016_in_science
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Boy/Male
Indian, Sanskrit
The Dark
Boy/Male
Spanish
Famous warrior.
Boy/Male
Tamil
Sriselva Kumar | à®·à¯à®°à¯€Â ஸேலவா கà¯à®®à®¾à®°Â
Girl/Female
Hindu, Indian
Sweet Hearted / Kind Hearted
Boy/Male
Indian, Punjabi, Sikh
Protected by the Lord
Boy/Male
Indian, Sindhi
Royal Son of Jaya
Girl/Female
Muslim/Islamic
Beautiful
Girl/Female
Hindu, Indian
Shine; Light
Girl/Female
Tamil
Kanupriya | கநà¯à®ªà¯à®°à®¿à®¯à®¾
Radha
Girl/Female
Tamil
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