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Meta's AI-assisted audio codec claims 10x compression rate compared to MP3s

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Thanks to its high efficiency and integrated support by iconic products like the everlasting Winamp player, the MP3 codec became the de-facto standard for sharing audio files.
TL;DR: Encodec is a next-generation audio codec based on a complex neural network design, a system that can squeeze a lot of audio juice into minimal storage space. The codec would work for Metaverse experiences and optimizing mobile phone calls.
Thanks to its high efficiency and integrated support by iconic products like the everlasting Winamp player, the MP3 codec became the de-facto standard for sharing audio files on the internet during the Nineties and beyond. Now, a new codec wants to make history again by offering even more extreme gains in efficiency and bandwidth saving. The secret is an AI algorithm capable of « hypercompressing » audio streams.
Meta researchers conceptualized Encodec as a potential solution for supporting « current and future » high-quality experiences in the metaverse. The new technology is a neural network trained to « push the boundaries of what’s possible » in audio compression for online applications.

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