![]() ![]() ![]() Our algorithm will work only with English, and as a start we'd try to run it onĬlear video, without additional noises, as a later desire - we'll try to make it the algorithm should be useful and well working. The accuracy of generated text (in comparison to what actually been said) shouldīe high, i.e. This means – we're not trying to learn only specific syllables, phrases or words. Problem" – we want our system to be able to work well with the whole language, Person said as text, our mission is to tackle this problem as an "open world Ignore voice) sort of "talking head" video of a speaking person as input and output everything the Our goal is to develop a DNN based algorithm which will receive voice-less (or will just Project topic: Deep Learning Visual Speech Recognition Algorithm using DNN methodology Team members: Evgeny Vendrov, Amitai Zamir, Tal Noam Final project vision for project instructor Dr. ![]()
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