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| | | ## Using funasr with ONNXRuntime |
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| | | ### Introduction |
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| | | - Model comes from [speech_paraformer](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary). |
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| | | |
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| | | |
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| | | ### Steps: |
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| | | 1. Export the model. |
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| | | - Command: (`Tips`: torch >= 1.11.0 is required.) |
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| | | |
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| | | ```shell |
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| | | git clone https://github.com/alibaba/FunASR.git && cd FunASR |
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| | | cd funasr/runtime/python/funasr_onnx |
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| | | python setup.py build |
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| | | python setup.py install |
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| | | cd funasr/runtime/python/onnxruntime |
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| | | pip install -e ./ |
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| | | ``` |
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| | | |
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| | | 3. Run the demo. |
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| | | print(result) |
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| | | ``` |
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| | | |
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| | | ## Speed |
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| | | ## Performance benchmark |
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| | | |
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| | | Environment：Intel(R) Xeon(R) Platinum 8163 CPU @ 2.50GHz |
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| | | |
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| | | Test [wav, 5.53s, 100 times avg.](https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav) |
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| | | |
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| | | | Backend | RTF | |
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| | | |:-------:|:-----------------:| |
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| | | | Pytorch | 0.110 | |
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| | | | Onnx | 0.038 | |
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| | | |
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| | | Please ref to [benchmark](https://github.com/alibaba-damo-academy/FunASR/blob/main/funasr/runtime/python/benchmark_onnx.md) |
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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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