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| | | # ONNXRuntime-cpp for Websocket Server
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| | | # Service with websocket-cpp
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| | | ## Export the model
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| | | ### Install [modelscope and funasr](https://github.com/alibaba-damo-academy/FunASR#installation)
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| | | ```shell
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| | | cd bin
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| | | websocketmain [--model_thread_num <int>] [--decoder_thread_num
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| | | <int>] [--io_thread_num <int>] [--port <int>]
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| | | [--listen_ip <string>] [--wav-scp <string>]
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| | | [--wav-path <string>] [--punc-config <string>]
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| | | [--punc-model <string>] --am-config <string>
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| | | --am-cmvn <string> --am-model <string>
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| | | [--vad-config <string>] [--vad-cmvn <string>]
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| | | [--vad-model <string>] [--] [--version] [-h]
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| | | ./websocketmain [--model_thread_num <int>] [--decoder_thread_num <int>]
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| | | [--io_thread_num <int>] [--port <int>] [--listen_ip
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| | | <string>] [--punc-quant <string>] [--punc-dir <string>]
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| | | [--vad-quant <string>] [--vad-dir <string>] [--quantize
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| | | <string>] --model-dir <string> [--] [--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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| | | --model-dir <string>
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| | | (required) the asr model path, which contains model.onnx, config.yaml, am.mvn
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| | | --quantize <string>
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| | | false (Default), load the model of model.onnx in model_dir. If set true, load the model of model_quant.onnx in model_dir
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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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| | | --vad-dir <string>
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| | | the vad model path, which contains model.onnx, vad.yaml, vad.mvn
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| | | --vad-quant <string>
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| | | false (Default), load the model of model.onnx in vad_dir. If set true, load the model of model_quant.onnx in vad_dir
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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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| | | --punc-dir <string>
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| | | the punc model path, which contains model.onnx, punc.yaml
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| | | --punc-quant <string>
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| | | false (Default), load the model of model.onnx in punc_dir. If set true, load the model of model_quant.onnx in punc_dir
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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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| | | --decoder_thread_num <int>
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| | | number of threads for decoder
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| | | number of threads for decoder, default:8
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| | | --io_thread_num <int>
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| | | number of threads for network io
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| | | number of threads for network io, default:8
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| | | --port <int>
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| | | listen port, default:8889
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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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| | | Required: --model-dir <string>
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| | | If use vad, please add: --vad-dir <string>
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| | | If use punc, please add: --punc-dir <string>
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| | | example:
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| | | ./bin/websocketmain --am-config /FunASR/funasr/runtime/onnxruntime/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/config.yaml --am-model /FunASR/funasr/runtime/onnxruntime/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.onnx --am-cmvn /FunASR/funasr/runtime/onnxruntime/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/am.mvn
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| | | websocketmain --model-dir /FunASR/funasr/runtime/onnxruntime/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
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| | | ```
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| | |
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| | | ## Run websocket client test
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| | | ```shell
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| | | Usage: websocketclient server_ip port wav_path threads_num
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| | | example:
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| | | websocketclient 127.0.0.1 8889 funasr/runtime/websocket/test.pcm.wav 64
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| | |
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| | | result json, example like:
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| | | {"text":"一二三四五六七八九十一二三四五六七八九十"}
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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 [zhaoming](https://github.com/zhaomingwork/FunASR/tree/add-offline-websocket-srv/funasr/runtime/websocket) for contributing the websocket(cpp-api).
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