2025-11-10
Meta returns to open source AI with Omnilingual ASR models that can transcribe 1,600+ languages natively
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 comm [...]
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2025-11-10
Meta's Omnilingual ASR brings speech recognition to 1,600 languages
Meta's Fundamental AI Research (FAIR) team has introduced Omnilingual ASR, an automatic speech recognition system that can transcribe spoken language in more than 1,600 languages.<br /> The [...]
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