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| | | # Using funasr with websocket |
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| | | We can send streaming audio data to server in real-time with grpc client every 300 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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| | | # Service with websocket-python |
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| | | |
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| | | This is a demo using funasr pipeline with websocket python-api. |
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| | | |
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| | | ## For the Server |
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| | | |
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| | |
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| | | [//]: # (```) |
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| | | #### ASR streaming server |
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| | | ```shell |
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| | | python ws_server_online.py --host "0.0.0.0" --port 10095 |
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| | | python ws_server_online.py --host "0.0.0.0" --port 10095 --asr_model_online "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online" |
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| | | ``` |
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| | | #### |
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| | | |
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| | | #### ASR offline/online 2pass server |
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| | | |
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| | |
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| | | pip install -r requirements_client.txt |
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| | | ``` |
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| | | |
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| | | Start client |
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| | | |
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| | | ### Start client |
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| | | #### Recording from mircrophone |
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| | | ```shell |
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| | | # --chunk_size, "5,10,5"=600ms, "8,8,4"=480ms |
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| | | python ws_client.py --host "127.0.0.1" --port 10096 --chunk_size "5,10,5" |
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| | | python ws_client.py --host "127.0.0.1" --port 10095 --chunk_size "5,10,5" |
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| | | ``` |
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| | | #### Loadding from wav.scp(kaldi style) |
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| | | ```shell |
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| | | # --chunk_size, "5,10,5"=600ms, "8,8,4"=480ms |
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| | | python ws_client.py --host "127.0.0.1" --port 10095 --chunk_size "5,10,5" --audio_in "./data/wav.scp" |
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| | | ``` |
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| | | |
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| | | ## Acknowledge |
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