Using paraformer with ONNXRuntime

Introduction

• Model comes from speech_paraformer.

Steps:

1. Download the whole directory
   shell git clone https://github.com/alibaba/FunASR.git && cd FunASR cd funasr/runtime/python/onnxruntime/paraformer/rapid_paraformer
2. Install the related packages.
   bash pip install -r requirements.txt
3. Export the model.
   • Export your model(docs)

4. Run the demo.

• Model_dir: the model path, which contains model.onnx, config.yaml, am.mvn.
• Input: wav formt file, support formats: str, np.ndarray, List[str]
• Output: List[str]: recognition result.

• Example:
  ```python
  from paraformer_onnx import Paraformer

  model_dir = "/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
  model = Paraformer(model_dir, batch_size=1)
  
  wav_path = ['/nfs/zhifu.gzf/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/example/asr_example.wav']
  
  result = model(wav_path)
  print(result)
  ```
  

Speed

Environment：Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz
Test wav

Acknowledge

1. We acknowledge SWHL for contributing the onnxruntime(python api).