Scientists at the University of East Anglia in Norwich, England, are working on the next stage of automated lip reading technology that could be used for deciphering speech from video surveillance footage. The visual speech recognition technology, created by Dr. Helen Bear and Professor Richard Harvey of UEA’s School of Computing Sciences, can be applied “any place where the audio isn’t good enough to determine what people are saying,” says Dr. Training system to recognise lip movements She says that unique problems with determining speech arise when sound isn’t available – such as on CCTV footage – or if the audio is inadequate and there aren’t clues to give context to the conversation. The technology can also be used where there is audio but it is difficult to pick up because of ambient noise, such as in cars and aircraft. The technology uses deep neural networks that “learn” the way people move their lips, explains Professor Harvey. Researchers “train” the system using one person’s lip movements, then test it on another person’s lip movements. Top free automated lipreading software downloads. Automated Solutions’ Modbus/TCP OPC Server delivers high-speed connectivity to Modbus/TCP Slave devices via Ethernet. Read-my-lips - SYDE 522: Machine Intelligence course project on automated lip reading. Skip to content. Help save net neutrality! Clone or download. The team has a database of 12 people at the moment, using a list of around 1,000 words. This produces a success rate of 80 percent with a single speaker, and 60 percent with two different speakers. United Kingdom Minis…Ekorre hanging seat. An element of language modelling is also used to train the computer to recognise the context of words spoken. Challenges of lip reading CCTV “Lip-reading is one of the most challenging problems in artificial intelligence, so it’s great to make progress on one of the trickier aspects, which is how to train machines to recognise the appearance and shape of human lips,” says Harvey. “CCTV is still a challenge – there’s lots of stuff working against you. For example, on most CCTV footage the lips are quite small and frame rates are low.
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