facebookresearch/omnilingual-asr

Health v2 · maintenance only

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Adoption not part of the score

2898 stars · 269 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An open-source multilingual speech recognition library from Meta AI supporting over 1,600 languages, including hundreds never previously covered by ASR. It provides a family of CTC and LLM-based models (300M to 7B parameters) with zero-shot and few-shot adaptation for adding new languages from just a few paired examples.

Use cases

• transcribe speech in low-resource languages
• add speech recognition for a new language with few examples
• batch transcribe long audio recordings
• build multilingual voice applications
• research zero-shot speech recognition
• convert speech to text for 1600+ languages

When to choose

• you need ASR coverage for rare or low-resource languages
• you want state-of-the-art multilingual transcription accuracy
• you need to adapt speech recognition to a new language without large datasets
• you need unlimited-length audio decoding

When to avoid

• you only need a handful of high-resource languages and a lighter-weight model
• you lack GPU resources for the larger 3B/7B checkpoints
• you need fine-tuning recipes for the unlimited-length model variant
• you need a permissively licensed model for commercial use without reviewing the license

Facets

library · maturity active

speech-recognition audio-processing machine-learning deep-learning transformers speech-processing machine-learning python cross-platform asr speech-to-text multilingual zero-shot-learning wav2vec2 ctc llm-asr transcription low-resource-languages meta-ai natural-language-processing audio gpu

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markdown · JSON · MCP: product_card(name="facebookresearch/omnilingual-asr")