| | |
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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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| | | TCLAP::ValueArg<std::int32_t> audio_fs("", AUDIO_FS, "the sample rate of audio", false, 16000, "int32_t"); |
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| | | TCLAP::ValueArg<std::string> hotword("", HOTWORD, "the hotword file, one hotword perline, Format: Hotword Weight (could be: 阿里巴巴 20)", false, "", "string"); |
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| | | TCLAP::SwitchArg use_gpu("", INFER_GPU, "Whether to use GPU for inference, default is false", false); |
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| | | |
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| | | cmd.add(model_dir); |
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| | | cmd.add(quantize); |
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| | |
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| | | cmd.add(wav_path); |
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| | | cmd.add(audio_fs); |
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| | | cmd.add(hotword); |
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| | | cmd.add(use_gpu); |
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| | | cmd.parse(argc, argv); |
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| | | |
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| | | std::map<std::string, std::string> model_path; |
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| | |
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| | | struct timeval start, end; |
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| | | gettimeofday(&start, nullptr); |
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| | | int thread_num = 1; |
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| | | FUNASR_HANDLE asr_hanlde=FunOfflineInit(model_path, thread_num); |
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| | | bool use_gpu_ = use_gpu.getValue(); |
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| | | FUNASR_HANDLE asr_hanlde=FunOfflineInit(model_path, thread_num, use_gpu_); |
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| | | |
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| | | if (!asr_hanlde) |
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| | | { |
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| | |
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| | | gettimeofday(&start, nullptr); |
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| | | FUNASR_RESULT result=FunOfflineInferBuffer(asr_hanlde, speech_buff, buff_len, RASR_NONE, nullptr, hotwords_embedding, audio_fs.getValue(), "pcm", true, decoder_handle); |
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| | | // For debug:end |
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| | | |
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| | | |
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| | | // FUNASR_RESULT result=FunOfflineInfer(asr_hanlde, wav_file.c_str(), RASR_NONE, nullptr, hotwords_embedding, audio_fs.getValue(), true, decoder_handle); |
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| | | gettimeofday(&end, nullptr); |
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| | | seconds = (end.tv_sec - start.tv_sec); |
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