Automated Lip Reading (ALR) is a software technology developed by speech recognition expert Frank Hubner. A video image of a person talking can be analysed by the software. The shapes made by the lips can be examined and then turned into sounds. The sounds are compared to a dictionary to create matches to the words being spoken.

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Intel has released lip-reading visual speech recognition software under an open source licence. Called Audio Visual Speech Recognition (AVSR), the software is part of Intel's OpenCV computer vision and facial recognition code library. Essentially, it tracks the speaker's mouth movements as individual character and syllable sounds are formed. Sound for The Automated Lip Sync Animation. Audacity is an old, trusty (and free) software that will help you to prepare your own voice. And if necessary, modify it further. One place in particular where I got stuck when working with Rhubarb lip-syncing was the format. This work presents a scalable solution to open-vocabulary visual speech recognition. To achieve this, we constructed the largest existing visual speech recognition dataset, consisting of pairs of text and video clips of faces speaking (3,886 hours of video). In tandem, we designed and trained an integrated lipreading system, consisting of a video processing pipeline that maps raw video to.

The technology was used successfully to analyse silent home movie footage of Adolf Hitler taken by Eva Braun at their Bavarian retreat Berghof.

With Auto Lip-Sync you can create a mouth that automatically animates according to your voice recording. Automatic Animation Fully automatic movement of the mouth - no need for keyframes Step by Step Wizard The step by step wizard guides you though the process.

The video, with words, was included in a documentary titled 'Hitler's Private World', Revealed Studios, 2006

Windows 8 live cd iso download. Source: New Technology catches Hitler off guard

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Intel has released lip-reading visual speech recognition software under an open source licence.

Called Audio Visual Speech Recognition (AVSR), the software is part of Intel's OpenCV computer vision and facial recognition code library. Essentially, it tracks the speaker's mouth movements as individual character and syllable sounds are formed. Intel reckons the technique to be far more accurate than traditional speech recognition algorithms, which analyse sounds rather than images.

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That's not to say the results are perfect, and Intel's announcement implies that the system works better when coupled with facial recognition to identify 'known' speakers. Indeed, Intel's web site shows that the best results can be achieved with a mix of video and audio recognition algorithms, the one giving weight to the choices made by the other, particularly as the levels of background noise increase.

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The code was developed by Intel's Research subsidiary, part of whose remit is to develop applications that make the most of mainstream PCs' processing power. In other words, Intel is developing code that helps encourage users to upgrade to more powerful chips, ideally - and given chip makers' relative market shares, almost certainly - those made by Intel.

It's motives may not be entirely philanthropic, but at least Intel is giving the code away with a minimum of restrictions. ®

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Related Links

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Intel's AVSR page
Intel's OpenCV page

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