Omnilingual ASR
Advancing automatic speech recognition for 1,600+ languages
Omnilingual ASR launched on November 11, 2025 with 132 votes, #223 of 9,796 launches that month and more than 95% of that year's launches.
What it does
Meta's Omnilingual ASR is an open-source (Apache 2.0) speech recognition model supporting 1,600+ languages. It uses an LLM-based architecture that can be extended to new languages with just a few in-context examples, without retraining.
We’re introducing Meta Omnilingual Automatic Speech Recognition, a suite of models providing automatic speech recognition capabilities for over 1,600...
Automatic speech recognition (ASR) systems aim to make spoken language universally accessible by transcribing speech into text that can be searched, analyzed, and shared. Currently, most automatic speech recognition systems focus on a limited set of high-resource languages that are well represented on the internet, often relying on large amounts of labeled data and human-generated metadata to achieve good performance. This means high-quality transcriptions are often unavailable for speakers of less widely represented or low-resource languages, furthering the digital divide. Today, Meta’s Fundamental AI Research (FAIR) team is introducing Omnilingual ASR — a groundbreaking suite of models…from ai.meta.com
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