Humans, Cover Your Mouths: Lip Reading Bots in the Wild
From: ZDNet - 08/30/2017
By: Robin Harris

There are many uses for machine lip reading, from transcription in noisy
contexts to resolving multi-speaker concurrent speech and improving automated
speech recognition.

Researchers at Oxford University in the UK and Google have developed an
algorithm that has outperformed professional human lip readers, a
breakthrough they say could lead to surveillance video systems that can show
the content of speech in addition to the actions of an individual. The
researchers developed the algorithm by training Google's Deep Mind neural
network on thousands of hours of subtitled BBC TV videos, showing a wide
range of people speaking in a variety of poses, activities, and lighting. The
neural network, dubbed Watch, Listen, Attend, and Spell (WLAS), learned to
transcribe videos of mouth motion to characters, using more than 100,000
sentences from the videos. By translating mouth movements into individual
characters, WLAS was able to spell out words. The Oxford researchers found a
professional lip reader could correctly decipher less than 25 percent of the
spoken words, while the neural network was able to decipher 50 percent of the
spoken words.

Read the entire article at:
http://www.zdnet.com/article/lip-reading-bots-in-the-wild

Links:
Lip Reading Sentences in the Wild
https://www.robots.ox.ac.uk/~vgg/publications/2017/Chung17/chung17.pdf

Google's AI can now lip read better than humans after watching thousands of
  hours of TV
https://www.theverge.com/2016/11/24/13740798/google-deepmind-ai-lip-reading-tv