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Fake-News Threat: Nearly Perfect Lip-Sync between Audio and Unrelated Video Shown by Researchers

By leveraging a machine learning system, researchers from the University of Washington took a Barack Obama audio and created a visual representation of the former president to show realistic lip-syncing.


Transferring an audio recording to a video of someone speaking is a daunting task. Of course, animation can achieve this relatively easily, but for real-like human subjects, results are often unsuccessful. However, a team of researchers out of the University of Washington have developed a video of Barack Obama lip-synced to previously recorded audio.

More specifically, the audio in the video is separate from the visuals, which were compiled by the researchers to match the audio. This lip-sync capability is a breakthrough because previous tests in this field have been less successful.

Indeed, matching audio to a person speaking on video is tough. In most cases even the casual viewer would see something is not right. Researchers call this the uncanny valley, which is when human replicas look real but also creepy or unnatural.

At the University of Washington, researchers aimed to make a breakthrough and create a realistic human replica that perfectly aligned with the audio speech. Using 14 hours of audio from Obama’s weekly address, the team could train a neural network to learn the speech.

Once the machine learning was complete, the system could create mouth shapes that synced with the audio. Next the AI developed a realistic looking mouth that was mapped from Obama’s. This mouth was synced to the audio and superimposed onto a differently sourced video of Obama.

Getting it Right

However, while talking comes from the mouth, nuances in head and jaw movement are also important. For that extra realism, the team used the system to tweak head and jaw movements for timing.

As you can see in the videos, while the results are not 100% perfect, they are advanced beyond what we have seen before. As the video shows, the system improves the quality the more it learns. However, the team says there are occasional mistakes in syncing and the jaw would sometimes glitch (two chin Obama, anyone?).

The team will be presenting its work in the ACM Transactions on Graphics.

Luke Jones
Luke Jones
Luke has been writing about all things tech for more than five years. He is following Microsoft closely to bring you the latest news about Windows, Office, Azure, Skype, HoloLens and all the rest of their products.

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