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Today we're sharing new progress on our AI speech work. Our Massively Multilingual Speech (MMS) project has now scaled speech-to-text & text-to-speech to support over 1,100 languages — a 10x increase from previous work. Details + access to new pretrained models ⬇️

326,826 次观看 • 3 年前 •via X (Twitter)

10 条评论

TDM (e/λ) 的头像
TDM (e/λ)3 年前

How does Meta keep on winning?

Octavia 的头像
Octavia3 年前

It’s exciting to see the development of AI moving at a rapid pace Get ready for Octavia AI 🔥

Carlos Alarcón 的头像
Carlos Alarcón3 年前

soon on @huggingface ?

Leo 的头像
Leo3 年前

Could you make these tools into proper modules, preferably ones that install CLI scripts, like whisper does? Checking out a bunch of repositories and downloading model files, and setting PYTHONPATH manually isn't very user friendly...

Kody Young / 💬 Your AI Interpreter 的头像
Kody Young / 💬 Your AI Interpreter3 年前

Wrote about the implications and breakdown of it here, if anyone wants to dive in deeper:

SFT Protocol 的头像
SFT Protocol3 年前

Wow! This is truly amazing. Your Massively Multilingual Speech project is making great strides toward breaking language barriers. Can't wait to see the impact it has on multilingual communication! #AI #LanguageBarrier #Communication.

Serçiya^ سەرچیا 的头像
Serçiya^ سەرچیا3 年前

I suggest creating a demo page or an app to allow people who speak these languages to easily use the tool. Also, it would be beneficial to integrate it with the NLLB-200. @ylecun

Lasley 的头像
Lasley3 年前

Wow

Mark Wick 的头像
Mark Wick3 年前

Hot to test this? Is it public?

@AI_TwistedHumor 的头像
@AI_TwistedHumor3 年前

Massive congrats to Meta AI for the MMS project! Supporting 1100 languages... now if we can just work out how to say 'Congrats' in each one. Computer, start with Zulu... #AIProgress #LanguageLearning 🌐🔊

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