✨ Meta는 기본적으로 1,600개 이상의 언어를 전사할 수 있는 Omnilingual ASR 모델을 갖춘 오픈 소스 AI로 돌아옵니다.
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Meta has just released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages — dwarfing OpenAI’s open source Whisper model, which supports just 99. Is architecture also allows developers to extend that support to thousands more. Through a feature called zero-shot i
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Meta has just released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages — dwarfing OpenAI’s open source Whisper model, which supports just 99. Is architecture also allows developers to extend that support to thousands more. Through a feature called zero-shot in-context learning, users can provide a few paired examples of audio and text in a new language at inference time, enabling the model to transcribe additional utterances in that language without any retraining.In practice, this expands potential coverage to more than 5,400 languages — roughly every spoken language with a known script.It’s a shift from static model capabilities to a flexible framework that communities can adapt themselves. So while the 1,600 languages reflect official training coverage, the broader figure represents Omnilingual ASR’s capacity to generalize on demand, making it the most extensible speech recognition system released to date.Best of all: it's been open sour