AI Contents Archive

(1/3) Until now, AI translation has focused mainly on written languages. Universal Speech Translator (UST) is the 1st AI-powered speech-to-speech translation system for a primarily oral language, translating Hokkien, one of many primarily spoken languages. https://t.co/onYKQ8uoKN https://t.co/Iy8MRMOypQ

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We’re releasing the SpeechMatrix dataset that’s mined with LASER, Meta’s innovative data mining technique, enabling researchers to create their own S2ST systems building on our work. https://t.co/pYSTpj3HTD https://t.co/gUsacTbE3r

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(3/3) By open-sourcing our benchmark data to the AI community and including our Hokkien system in a UST, we hope other researchers will build on this work. Someday all languages, written or unwritten, may no longer be an obstacle to mutual understanding. https://t.co/7yxdWEa2ln https://t.co/yUZ2P8biT0

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(2/3) Hokkien, one of ~3k primarily spoken languages, has no standard writing system and very few human translators, making it even more difficult to create training data for our models and difficult to rely on Hokkien transcripts.

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As we look to the future of translation, we’re eager to see other researchers use the techniques we pioneered with Hokkien to create their own speech-to-speech translation systems for other written and unwritten languages.

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