| | |
| | | LOG(INFO)<< key << " : " << value_arg.getValue(); |
| | | } |
| | | |
| | | void runReg(FUNASR_HANDLE tpass_handle, std::vector<int> chunk_size, vector<string> wav_list, vector<string> wav_ids, |
| | | float* total_length, long* total_time, int core_id, ASR_TYPE asr_mode_, string nn_hotwords_) { |
| | | void runReg(FUNASR_HANDLE tpass_handle, std::vector<int> chunk_size, vector<string> wav_list, vector<string> wav_ids, int audio_fs, |
| | | float* total_length, long* total_time, int core_id, ASR_TYPE asr_mode_, string nn_hotwords_, |
| | | float glob_beam, float lat_beam, float am_scale, int inc_bias, unordered_map<string, int> hws_map) { |
| | | |
| | | struct timeval start, end; |
| | | long seconds = 0; |
| | | float n_total_length = 0.0f; |
| | | long n_total_time = 0; |
| | | |
| | | FUNASR_DEC_HANDLE decoder_handle = FunASRWfstDecoderInit(tpass_handle, ASR_TWO_PASS, glob_beam, lat_beam, am_scale); |
| | | // load hotwords list and build graph |
| | | FunWfstDecoderLoadHwsRes(decoder_handle, inc_bias, hws_map); |
| | | |
| | | std::vector<std::vector<float>> hotwords_embedding = CompileHotwordEmbedding(tpass_handle, nn_hotwords_, ASR_TWO_PASS); |
| | | |
| | |
| | | // warm up |
| | | for (size_t i = 0; i < 2; i++) |
| | | { |
| | | int32_t sampling_rate_ = 16000; |
| | | int32_t sampling_rate_ = audio_fs; |
| | | funasr::Audio audio(1); |
| | | if(is_target_file(wav_list[0].c_str(), "wav")){ |
| | | if(!audio.LoadWav2Char(wav_list[0].c_str(), &sampling_rate_)){ |
| | |
| | | } else { |
| | | is_final = false; |
| | | } |
| | | FUNASR_RESULT result = FunTpassInferBuffer(tpass_handle, tpass_online_handle, speech_buff+sample_offset, step, punc_cache, is_final, sampling_rate_, "pcm", (ASR_TYPE)asr_mode_, hotwords_embedding); |
| | | FUNASR_RESULT result = FunTpassInferBuffer(tpass_handle, tpass_online_handle, speech_buff+sample_offset, step, punc_cache, is_final, |
| | | sampling_rate_, "pcm", (ASR_TYPE)asr_mode_, hotwords_embedding, true, decoder_handle); |
| | | if (result) |
| | | { |
| | | FunASRFreeResult(result); |
| | |
| | | if (i >= wav_list.size()) { |
| | | break; |
| | | } |
| | | int32_t sampling_rate_ = 16000; |
| | | int32_t sampling_rate_ = audio_fs; |
| | | funasr::Audio audio(1); |
| | | if(is_target_file(wav_list[i].c_str(), "wav")){ |
| | | if(!audio.LoadWav2Char(wav_list[i].c_str(), &sampling_rate_)){ |
| | |
| | | } else { |
| | | is_final = false; |
| | | } |
| | | gettimeofday(&start, NULL); |
| | | FUNASR_RESULT result = FunTpassInferBuffer(tpass_handle, tpass_online_handle, speech_buff+sample_offset, step, punc_cache, is_final, sampling_rate_, "pcm", (ASR_TYPE)asr_mode_, hotwords_embedding); |
| | | gettimeofday(&end, NULL); |
| | | gettimeofday(&start, nullptr); |
| | | FUNASR_RESULT result = FunTpassInferBuffer(tpass_handle, tpass_online_handle, speech_buff+sample_offset, step, punc_cache, is_final, |
| | | sampling_rate_, "pcm", (ASR_TYPE)asr_mode_, hotwords_embedding, true, decoder_handle); |
| | | gettimeofday(&end, nullptr); |
| | | seconds = (end.tv_sec - start.tv_sec); |
| | | long taking_micros = ((seconds * 1000000) + end.tv_usec) - (start.tv_usec); |
| | | n_total_time += taking_micros; |
| | |
| | | *total_time = n_total_time; |
| | | } |
| | | } |
| | | FunWfstDecoderUnloadHwsRes(decoder_handle); |
| | | FunASRWfstDecoderUninit(decoder_handle); |
| | | FunTpassOnlineUninit(tpass_online_handle); |
| | | } |
| | | |
| | |
| | | TCLAP::ValueArg<std::string> punc_dir("", PUNC_DIR, "the punc online model path, which contains model.onnx, punc.yaml", false, "", "string"); |
| | | TCLAP::ValueArg<std::string> punc_quant("", PUNC_QUANT, "true (Default), load the model of model.onnx in punc_dir. If set true, load the model of model_quant.onnx in punc_dir", false, "true", "string"); |
| | | TCLAP::ValueArg<std::string> itn_dir("", ITN_DIR, "the itn model(fst) path, which contains zh_itn_tagger.fst and zh_itn_verbalizer.fst", false, "", "string"); |
| | | TCLAP::ValueArg<std::string> lm_dir("", LM_DIR, "the lm model path, which contains compiled models: TLG.fst, config.yaml, lexicon.txt ", false, "", "string"); |
| | | TCLAP::ValueArg<float> global_beam("", GLOB_BEAM, "the decoding beam for beam searching ", false, 3.0, "float"); |
| | | TCLAP::ValueArg<float> lattice_beam("", LAT_BEAM, "the lattice generation beam for beam searching ", false, 3.0, "float"); |
| | | TCLAP::ValueArg<float> am_scale("", AM_SCALE, "the acoustic scale for beam searching ", false, 10.0, "float"); |
| | | TCLAP::ValueArg<std::int32_t> fst_inc_wts("", FST_INC_WTS, "the fst hotwords incremental bias", false, 20, "int32_t"); |
| | | |
| | | TCLAP::ValueArg<std::string> asr_mode("", ASR_MODE, "offline, online, 2pass", false, "2pass", "string"); |
| | | TCLAP::ValueArg<std::int32_t> onnx_thread("", "model-thread-num", "onnxruntime SetIntraOpNumThreads", false, 1, "int32_t"); |
| | | TCLAP::ValueArg<std::int32_t> thread_num_("", THREAD_NUM, "multi-thread num for rtf", false, 1, "int32_t"); |
| | | 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"); |
| | | TCLAP::ValueArg<std::int32_t> audio_fs("", AUDIO_FS, "the sample rate of audio", false, 16000, "int32_t"); |
| | | TCLAP::ValueArg<std::string> hotword("", HOTWORD, "the hotword file, one hotword perline, Format: Hotword Weight (could be: 阿里巴巴 20)", false, "", "string"); |
| | | |
| | | cmd.add(offline_model_dir); |
| | |
| | | cmd.add(punc_dir); |
| | | cmd.add(punc_quant); |
| | | cmd.add(itn_dir); |
| | | cmd.add(lm_dir); |
| | | cmd.add(global_beam); |
| | | cmd.add(lattice_beam); |
| | | cmd.add(am_scale); |
| | | cmd.add(fst_inc_wts); |
| | | cmd.add(wav_path); |
| | | cmd.add(audio_fs); |
| | | cmd.add(asr_mode); |
| | | cmd.add(onnx_thread); |
| | | cmd.add(thread_num_); |
| | |
| | | GetValue(punc_dir, PUNC_DIR, model_path); |
| | | GetValue(punc_quant, PUNC_QUANT, model_path); |
| | | GetValue(itn_dir, ITN_DIR, model_path); |
| | | GetValue(lm_dir, LM_DIR, model_path); |
| | | GetValue(wav_path, WAV_PATH, model_path); |
| | | GetValue(asr_mode, ASR_MODE, model_path); |
| | | |
| | | struct timeval start, end; |
| | | gettimeofday(&start, NULL); |
| | | gettimeofday(&start, nullptr); |
| | | int thread_num = onnx_thread.getValue(); |
| | | int asr_mode_ = -1; |
| | | if(model_path[ASR_MODE] == "offline"){ |
| | |
| | | LOG(ERROR) << "FunTpassInit init failed"; |
| | | exit(-1); |
| | | } |
| | | float glob_beam = 3.0f; |
| | | float lat_beam = 3.0f; |
| | | float am_sc = 10.0f; |
| | | if (lm_dir.isSet()) { |
| | | glob_beam = global_beam.getValue(); |
| | | lat_beam = lattice_beam.getValue(); |
| | | am_sc = am_scale.getValue(); |
| | | } |
| | | |
| | | gettimeofday(&end, NULL); |
| | | gettimeofday(&end, nullptr); |
| | | long seconds = (end.tv_sec - start.tv_sec); |
| | | long modle_init_micros = ((seconds * 1000000) + end.tv_usec) - (start.tv_usec); |
| | | LOG(INFO) << "Model initialization takes " << (double)modle_init_micros / 1000000 << " s"; |
| | |
| | | // hotword file |
| | | unordered_map<string, int> hws_map; |
| | | std::string nn_hotwords_ = ""; |
| | | std::string hotword_path = model_path.at(HOTWORD); |
| | | std::string hotword_path = hotword.getValue(); |
| | | LOG(INFO) << "hotword path: " << hotword_path; |
| | | funasr::ExtractHws(hotword_path, hws_map, nn_hotwords_); |
| | | |
| | |
| | | int rtf_threds = thread_num_.getValue(); |
| | | for (int i = 0; i < rtf_threds; i++) |
| | | { |
| | | threads.emplace_back(thread(runReg, tpass_hanlde, chunk_size, wav_list, wav_ids, &total_length, &total_time, i, (ASR_TYPE)asr_mode_, nn_hotwords_)); |
| | | threads.emplace_back(thread(runReg, tpass_hanlde, chunk_size, wav_list, wav_ids, audio_fs.getValue(), &total_length, &total_time, i, (ASR_TYPE)asr_mode_, nn_hotwords_, |
| | | glob_beam, lat_beam, am_sc, fst_inc_wts.getValue(), hws_map)); |
| | | } |
| | | |
| | | for (auto& thread : threads) |