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| | | ### Install [modelscope and funasr](https://github.com/alibaba-damo-academy/FunASR#installation) |
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| | | |
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| | | ```shell |
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| | | pip3 install torch torchaudio |
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| | | pip install -U modelscope |
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| | | pip install -U funasr |
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| | | # pip3 install torch torchaudio |
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| | | pip install -U modelscope funasr |
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| | | # For the users in China, you could install with the command: |
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| | | # 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 |
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| | | ``` |
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| | | |
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| | | ### Export [onnx model](https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export) |
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| | |
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| | | cmake -DCMAKE_BUILD_TYPE=release .. -DONNXRUNTIME_DIR=/path/to/onnxruntime-linux-x64-1.14.0 |
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| | | make |
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| | | ``` |
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| | | |
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| | | [//]: # (### The structure of a qualified onnxruntime package.) |
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| | | |
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| | | [//]: # (```) |
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| | | |
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| | | [//]: # (onnxruntime_xxx) |
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| | | |
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| | | [//]: # (├───include) |
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| | | |
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| | | [//]: # (└───lib) |
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| | | |
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| | | [//]: # (```) |
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| | | |
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| | | ## Building for Windows |
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| | | |
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| | | Ref to win/ |
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| | | |
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| | | |
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| | | ## Run the demo |
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| | | |
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| | | ```shell |
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| | | tester /path/models_dir /path/wave_file quantize(true or false) |
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| | | ``` |
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| | | ./funasr-onnx-offline [--wav-scp <string>] [--wav-path <string>] |
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| | | [--punc-config <string>] [--punc-model <string>] |
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| | | --am-config <string> --am-cmvn <string> |
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| | | --am-model <string> [--vad-config <string>] |
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| | | [--vad-cmvn <string>] [--vad-model <string>] [--] |
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| | | [--version] [-h] |
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| | | Where: |
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| | | --wav-scp <string> |
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| | | wave scp path |
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| | | --wav-path <string> |
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| | | wave file path |
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| | | |
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| | | The structure of /path/models_dir |
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| | | ``` |
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| | | config.yaml, am.mvn, model.onnx(or model_quant.onnx) |
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| | | ``` |
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| | | --punc-config <string> |
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| | | punc config path |
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| | | --punc-model <string> |
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| | | punc model path |
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| | | |
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| | | --am-config <string> |
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| | | (required) am config path |
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| | | --am-cmvn <string> |
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| | | (required) am cmvn path |
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| | | --am-model <string> |
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| | | (required) am model path |
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| | | |
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| | | --vad-config <string> |
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| | | vad config path |
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| | | --vad-cmvn <string> |
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| | | vad cmvn path |
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| | | --vad-model <string> |
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| | | vad model path |
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| | | |
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| | | Required: --am-config <string> --am-cmvn <string> --am-model <string> |
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| | | If use vad, please add: [--vad-config <string>] [--vad-cmvn <string>] [--vad-model <string>] |
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| | | If use punc, please add: [--punc-config <string>] [--punc-model <string>] |
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| | | ``` |
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| | | |
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| | | ## Acknowledge |
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| | | 1. This project is maintained by [FunASR community](https://github.com/alibaba-damo-academy/FunASR). |
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| | | 2. We acknowledge [mayong](https://github.com/RapidAI/RapidASR/tree/main/cpp_onnx) for contributing the onnxruntime(cpp api). |
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| | | 3. We borrowed a lot of code from [FastASR](https://github.com/chenkui164/FastASR) for audio frontend and text-postprocess. |
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| | | 2. We acknowledge mayong for contributing the onnxruntime of Paraformer and CT_Transformer, [repo-asr](https://github.com/RapidAI/RapidASR/tree/main/cpp_onnx), [repo-punc](https://github.com/RapidAI/RapidPunc). |
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| | | 3. We acknowledge [ChinaTelecom](https://github.com/zhuzizyf/damo-fsmn-vad-infer-httpserver) for contributing the VAD runtime. |
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| | | 4. We borrowed a lot of code from [FastASR](https://github.com/chenkui164/FastASR) for audio frontend and text-postprocess. |
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