Example: Serve FunASR/SenseVoice for speech recognition

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> [!NOTE]
> **License and capability clarification (2026-07-14):** FunASR is a toolkit, not a single checkpoint. The [FunASR](https://github.com/modelscope/FunASR#license) and [SenseVoice](https://github.com/FunAudioLLM/SenseVoice#license) repository source code is MIT; model weights follow each model card. [SenseVoiceSmall](https://huggingface.co/FunAudioLLM/SenseVoiceSmall) supports Chinese, Cantonese, English, Japanese, and Korean, and its weights use the linked FunASR Model Open Source License Agreement. [Fun-ASR-Nano-2512](https://huggingface.co/FunAudioLLM/Fun-ASR-Nano-2512) is Apache-2.0. Language coverage, punctuation, and performance depend on the selected model and runtime configuration.

Hi! Great lightweight inference server framework!

Would you consider adding a FunASR/SenseVoice example for speech recognition serving?

## Why?

- **Most popular open-source ASR** — FunASR 16K+ stars, SenseVoice 8K+
- **Simple Python API** — Perfect fit for LitServe
- **Ultra-fast** — SenseVoice-Small: ~70ms/10s, ideal for low-latency serving
- **High demand** — Many users want to deploy ASR as API

## Example LitServe server

```python
import litserve as ls
from funasr import AutoModel

class SpeechRecognitionAPI(ls.LitAPI):
def setup(self, device):
self.model = AutoModel(model="iic/SenseVoiceSmall", device=device)

def predict(self, audio_data):
result = self.model.generate(input=audio_data)
return {"text": result[0]["text"]}

server = ls.LitServer(SpeechRecognitionAPI(), accelerator="auto")
server.run()
```

## References

- FunASR: https://github.com/modelscope/FunASR (16K+ stars)
- SenseVoice: https://github.com/FunAudioLLM/SenseVoice (8K+ stars)

No repository files or tests are named. Start by reviewing the repository’s existing serving examples and the provided Python API sketch; done means a documented, runnable FunASR/SenseVoice speech-recognition example with its model and dependency requirements, validated through the project’s existing example or test workflow.

Written by the indexing model from the issue text.