| | |
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| | | |
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| | | is_speaking = message["is_speaking"] |
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| | | websocket.param_dict_vad["is_final"] = not is_speaking |
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| | | websocket.wav_name = message.get("wav_name", "demo") |
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| | | if speech_start: |
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| | | frames_asr.append(audio) |
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| | | speech_start_i, speech_end_i = await async_vad(websocket, audio) |
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| | |
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| | | rec_result = inference_pipeline_punc(text_in=rec_result['text'], |
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| | | param_dict=websocket.param_dict_punc) |
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| | | # print(rec_result) |
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| | | message = json.dumps({"mode": "offline", "text": [rec_result["text"]]}) |
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| | | await websocket.send(message) |
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| | | message = json.dumps({"mode": "offline", "text": [rec_result["text"]], "wav_name": websocket.wav_name}) |
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| | | await websocket.send(message) |
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| | | |
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| | | |
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| | | |
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| | | |
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