[Natural News]: Researchers from the Massachusetts Institute of Technology (MIT) are working on an AI project that can accurately map what people look like just by analyzing voice recordings from the internet. The researchers published their first paper on the project: “Speech2Face: Learning the Face behind a Voice.”
The researchers trained the AI neural networks using millions of YouTube audio clips taken from the internet. The clips included voice audio from over 100,000 individuals. The AI was able to make clever distinctions in voice tone and inflection and could accurately predict the age, gender and ethnicity of the individuals. Most shocking: The AI attempted to recreate the faces of the people based on the sound of their voice alone. The computer simulation was able to determine key features on people’s faces and then generate lookalike photos of the people — all based on random audio clips.
The researchers did not intervene in the project. The AI grew smarter on its own. After analyzing millions of audio clips, the computer was able to recreate faces that closely resembled the original speaker in the video clip. The AI was not 100 percent accurate and failed to judge some of the ethnicities, especially when a person spoke more than one language...<<<Read The Full Article Here>>>...
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