LipNet
Deep learning model for audio-visual speech recognition
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LipNet is a deep neural network for audio-visual speech recognition (ASVR). It was created by University of Oxford researchers Yannis Assael, Brendan Shillingford, Shimon Whiteson, and Nando de Freitas.[1] The researchers stated that could match mouth movements to text with 93 percent accuracy,[2] though it was criticized for its test using a limited dataset of words and grammar.[3] It was used in Nvidia's autonomous "backseat driver" prototype Co-Pilot.[4]
