QwenAudio/Fun-ASR

Health v2 · maintenance only

Adoption not part of the score

1496 stars · 147 forks observed · 2026-08-28

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

Fun-ASR is a family of open-source LLM-based end-to-end speech recognition models from Tongyi Lab, covering Chinese, dialects, accents, and 31 languages via the Fun-ASR-Nano and Fun-ASR-MLT-Nano checkpoints. It integrates with FunASR for inference and serving, and supports vLLM batch inference, streaming, and llama.cpp on-device deployment.

Use cases

• transcribe Chinese speech with dialect and accent robustness
• convert audio recordings to text in 31 languages
• run real-time streaming speech recognition
• perform speaker diarization on meeting audio
• deploy an on-device Whisper alternative with llama.cpp
• batch transcribe large audio datasets with vLLM

When to choose

• you need strong Chinese, dialect, or accented speech recognition
• you want multilingual ASR in a single compact 800M model
• you need streaming or real-time transcription
• you want on-device inference via GGUF/llama.cpp

When to avoid

• you need speaker verification or full speech analytics beyond diarization
• you require languages outside the supported 31
• you need a managed cloud ASR service rather than self-hosted models

Facets

library · maturity active

speech-recognition machine-learning llm-inference audio-processing speech-processing machine-learning python cross-platform cli asr speech-to-text transcription chinese-dialects multilingual funasr vllm streaming speaker-diarization llama-cpp gguf on-device whisper-alternative natural-language-processing audio gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="QwenAudio/Fun-ASR")