FunASR/funasr/runtime/onnxruntime/readme.md

ONNXRuntime-cpp

Export the model

Install modelscope and funasr

# pip3 install torch torchaudio
pip install -U modelscope funasr
# For the users in China, you could install with the command:
# pip install -U modelscope funasr -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html -i https://mirror.sjtu.edu.cn/pypi/web/simple

Export onnx model

python -m funasr.export.export_model --model-name damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch --export-dir ./export --type onnx --quantize True

Building for Linux/Unix

Download onnxruntime

# download an appropriate onnxruntime from https://github.com/microsoft/onnxruntime/releases/tag/v1.14.0
# here we get a copy of onnxruntime for linux 64
wget https://github.com/microsoft/onnxruntime/releases/download/v1.14.0/onnxruntime-linux-x64-1.14.0.tgz
tar -zxvf onnxruntime-linux-x64-1.14.0.tgz

Install openblas

sudo apt-get install libopenblas-dev #ubuntu
# sudo yum -y install openblas-devel #centos

Build runtime

git clone https://github.com/alibaba-damo-academy/FunASR.git && cd funasr/runtime/onnxruntime
mkdir build && cd build
cmake  -DCMAKE_BUILD_TYPE=release .. -DONNXRUNTIME_DIR=/path/to/onnxruntime-linux-x64-1.14.0
make

Run the demo

./funasr-onnx-offline     [--wav-scp <string>] [--wav-path <string>]
                          [--punc-config <string>] [--punc-model <string>]
                          --am-config <string> --am-cmvn <string>
                          --am-model <string> [--vad-config <string>]
                          [--vad-cmvn <string>] [--vad-model <string>] [--]
                          [--version] [-h]
Where:
   --wav-scp <string>
     wave scp path
   --wav-path <string>
     wave file path

   --punc-config <string>
     punc config path
   --punc-model <string>
     punc model path

   --am-config <string>
     (required)  am config path
   --am-cmvn <string>
     (required)  am cmvn path
   --am-model <string>
     (required)  am model path

   --vad-config <string>
     vad config path
   --vad-cmvn <string>
     vad cmvn path
   --vad-model <string>
     vad model path
  
   Required: --am-config <string> --am-cmvn <string> --am-model <string> 
   If use vad, please add: [--vad-config <string>] [--vad-cmvn <string>] [--vad-model <string>]
   If use punc, please add: [--punc-config <string>] [--punc-model <string>] 

Acknowledge

1. This project is maintained by FunASR community.
2. We acknowledge mayong for contributing the onnxruntime of Paraformer and CT_Transformer, repo-asr, repo-punc.
3. We acknowledge ChinaTelecom for contributing the VAD runtime.
4. We borrowed a lot of code from FastASR for audio frontend and text-postprocess.