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Google DeepMind wins again: AI trounces human expert in lip-reading face-off With chatbots inventing their own languages, and AI surpassing human intelligence someday this century, it's clear that humans will have to cover their mouths - as David and Frank should have - in order to have secure verbal communication during the coming war with our AI overlords.Ĭourteous comments welcome, of course.
There are many practical uses for machine lip reading, such as transcription in noisy contexts, dubbing and/or transcribing silent films, resolving multi-speaker concurrent speech, and improving automated speech recognition.īut let's let our imaginations run wild.
Automated lip reading software download professional#
Their WAS model (lips only) was able to decipher half of the spoken words, significantly better than professional lip readers. They found that a professional lip reader is able to correctly decipher less than one-quarter of the spoken words. The videos were 120x120 pixel images, showing only the lips, sampled every 40 milliseconds. That sped up training and dramatically improved test performance. In training the AI, one of the team's innovations was to start out with single words, and gradually increase the length of samples to reach complete sentences. By translating mouth movements to individual characters, the neural net spelled out words. Their 'Watch, Listen, Attend and Spell' (WLAS) neural network learned to transcribe videos of mouth motion to characters, using over 100,000 sentences from the videos. But by using thousands of hours of BBC videos, their algorithm achieved the best results yet. Lip reading is an active area of AI research, and this team is not the first to work on it. The videos showed a broad spectrum of people speaking in a wide variety of poses, activities, and lighting - thus the "in the wild" designation. The researchers used Google's Deep Mind neural network and trained it using thousands of hours of subtitled BBC television videos. Soon, surveillance videos may not only show your actions, but the content of your speech. In the paper Lip Reading Sentences in the Wild, researchers Joon Son Chung, of Oxford University, Andrew Senior, Oriol Vinyals, and Andrew Zisserman, of Google, tested an algorithm that bested professional human lip readers.
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In the movie "2001" I found the scariest moment was when astronauts David Bowman and Frank Poole met in the EVA pod to discuss the artificially intelligent HAL 9000 computer's behavior - and HAL reads their lips. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of them. would you be willing to send me a copy of what your spokesmodel looks like? Maybe I can come up with something that you find satisfactory.Machine learning, task automation and robotics are already widely used in business. There were various programs/plugins that automated lip synching but it would still require some knowledge of the software to animate the 3D model. With auto lip-sync, seamlessly integrate your voice-overs to your characters lip movement. You will have to choose a 3D application and dig into it or pay someone to animate it for you. Learn More About This Human Sounding Text To Speech Software. So after a quick search I don't think there is an application that makes it easy for you to animate the entire 3D model. You will still have to animate the body and facial features. This by no means means that it is automated. I've used it before but on a 2D animation software. It automatically turns speech into lip-synching movements.
Automated lip reading software download how to#
I know most major 3d programs might have a lip synching plugin, but the problem is you have to know how to use the 3D program in the beginning and buy it too, and they are not cheap.Įxcept for Blender 3D which is actually free (and quite powerful) and it does have a lip-synching plugin called papagayo.
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