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| | | TCLAP::CmdLine cmd("funasr-onnx-offline-vad", ' ', "1.0"); |
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| | | TCLAP::ValueArg<std::string> model_dir("", MODEL_DIR, "the vad model path, which contains model.onnx, vad.yaml, vad.mvn", true, "", "string"); |
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| | | TCLAP::ValueArg<std::string> quantize("", QUANTIZE, "false (Default), load the model of model.onnx in model_dir. If set true, load the model of model_quant.onnx in model_dir", false, "false", "string"); |
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| | | TCLAP::ValueArg<std::string> quantize("", QUANTIZE, "false (Default), load the model of model.onnx in model_dir. If set true, load the model of model_quant.onnx in model_dir", false, "true", "string"); |
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| | | TCLAP::ValueArg<std::string> wav_path("", WAV_PATH, "the input could be: wav_path, e.g.: asr_example.wav; pcm_path, e.g.: asr_example.pcm; wav.scp, kaldi style wav list (wav_id \t wav_path)", true, "", "string"); |
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| | | char* speech_buff = audio.GetSpeechChar(); |
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| | | int buff_len = audio.GetSpeechLen()*2; |
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| | | int step = 3200; |
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| | | int step = 800*2; |
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| | | bool is_final = false; |
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| | | for (int sample_offset = 0; sample_offset < buff_len; sample_offset += std::min(step, buff_len - sample_offset)) { |
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