Silent Talker

www.silent-talker.com

Overview Silent Talker is a pioneering adaptive psychological profiling system which was developed by the UK's leading experts in Behavioural Neuroscience and Artificial Intelligence. Designed for use in natural conversation, Silent Talker combines image processing and artificial intelligence to classify multiple visible signals of the head and face that accompany verbal communication. From these, it produces an accurate and comprehensive time-profile of a subject’s psychological state. Silent Talker’s patented intelligent, adaptable, fully automated and entirely noninvasive multi channel analysis technology can be adapted for virtually all contexts. Our technology processes a video stream received from a camera or a recording made earlier to make a classification (e.g. if an interviewee is truthful or deceptive). It uses large numbers of AI components to find useful features in the image and their states. The states of the features become the input channels for classification. A change in a single channel is a micro-gesture and combinations of these over some time period are analysed by a final AI component to classify the mental state of the person being observed.

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Overview Silent Talker is a pioneering adaptive psychological profiling system which was developed by the UK's leading experts in Behavioural Neuroscience and Artificial Intelligence. Designed for use in natural conversation, Silent Talker combines image processing and artificial intelligence to classify multiple visible signals of the head and face that accompany verbal communication. From these, it produces an accurate and comprehensive time-profile of a subject’s psychological state. Silent Talker’s patented intelligent, adaptable, fully automated and entirely noninvasive multi channel analysis technology can be adapted for virtually all contexts. Our technology processes a video stream received from a camera or a recording made earlier to make a classification (e.g. if an interviewee is truthful or deceptive). It uses large numbers of AI components to find useful features in the image and their states. The states of the features become the input channels for classification. A change in a single channel is a micro-gesture and combinations of these over some time period are analysed by a final AI component to classify the mental state of the person being observed.

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City (Headquarters)

Manchester

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Employees

1-10

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Estimated Revenue

$1 to $1,000,000

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Potential Decision Makers

  • Senior Artificial Intelligence Scientist ( Director )

    Email ****** @****.com
    Phone (***) ****-****

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