FireRedTeam/FireRedASR

Health v2 · maintenance only

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1971 stars · 165 forks observed · 2026-08-28

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

FireRedASR is a family of open-source industrial-grade automatic speech recognition models supporting Mandarin, Chinese dialects, and English, with an LLM-based variant (Encoder-Adapter-LLM) and an efficient AED variant. It achieves state-of-the-art results on public Mandarin ASR benchmarks and offers strong singing lyrics recognition, with model weights and Python inference code released under Apache-2.0.

Use cases

• transcribe Mandarin audio to text
• recognize speech in Chinese dialects
• transcribe English speech
• extract lyrics from songs
• build voice assistants with speech-to-text
• run high-accuracy ASR on GPU locally
• benchmark ASR models on aishell datasets

When to choose

• you need SOTA Mandarin or Chinese dialect transcription accuracy
• you need lyrics recognition from singing audio
• you want open-source ASR weights you can self-host
• you can run GPU inference and want an LLM-based speech model

When to avoid

• you need lightweight CPU-only or real-time on-device ASR
• you need languages beyond Mandarin, Chinese dialects, and English
• you need a full production ASR pipeline with VAD, LID, and punctuation (see FireRedASR2S)
• you need streaming low-latency transcription out of the box

Facets

library · maturity active

speech-recognition machine-learning llm-inference nlp speech-processing machine-learning artificial-intelligence python asr mandarin chinese-dialects speechllm conformer lyrics-recognition model-weights inference natural-language-processing gpu linux

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For agents

markdown · JSON · MCP: product_card(name="FireRedTeam/FireRedASR")