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| | | # Using paraformer with grpc |
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| | | We can send streaming audio data to server in real-time with grpc client every 10 ms e.g., and get transcribed text when stop speaking. |
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| | | The audio data is in streaming, the asr inference process is in offline. |
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| | | ## Workflow in desgin |
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| | |  |
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| | | ## Reference |
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| | | We borrow or refer to some code from: |
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| | | 1)https://github.com/wenet-e2e/wenet/tree/main/runtime/core/grpc |
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| | | 2)https://github.com/Open-Speech-EkStep/inference_service/blob/main/realtime_inference_service.py |
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