/** * Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved. * MIT License (https://opensource.org/licenses/MIT) */ #pragma once #include "precomp.h" namespace funasr { class Paraformer : public Model { /** * Author: Speech Lab of DAMO Academy, Alibaba Group * Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition * https://arxiv.org/pdf/2206.08317.pdf */ private: Vocab* vocab = nullptr; //const float scale = 22.6274169979695; const float scale = 1.0; void LoadOnlineConfigFromYaml(const char* filename); void LoadCmvn(const char *filename); vector ApplyLfr(const vector &in); void ApplyCmvn(vector *v); public: Paraformer(); ~Paraformer(); void InitAsr(const std::string &am_model, const std::string &am_cmvn, const std::string &am_config, int thread_num); // online void InitAsr(const std::string &en_model, const std::string &de_model, const std::string &am_cmvn, const std::string &am_config, int thread_num); // 2pass void InitAsr(const std::string &am_model, const std::string &en_model, const std::string &de_model, const std::string &am_cmvn, const std::string &am_config, int thread_num); void Reset(); vector FbankKaldi(float sample_rate, const float* waves, int len); string Forward(float* din, int len, bool input_finished=true); string GreedySearch( float* in, int n_len, int64_t token_nums); string Rescoring(); knf::FbankOptions fbank_opts_; vector means_list_; vector vars_list_; int lfr_m = PARA_LFR_M; int lfr_n = PARA_LFR_N; // paraformer-offline std::shared_ptr m_session_ = nullptr; Ort::Env env_; Ort::SessionOptions session_options_; vector m_strInputNames, m_strOutputNames; vector m_szInputNames; vector m_szOutputNames; // paraformer-online std::shared_ptr encoder_session_ = nullptr; std::shared_ptr decoder_session_ = nullptr; vector en_strInputNames, en_strOutputNames; vector en_szInputNames_; vector en_szOutputNames_; vector de_strInputNames, de_strOutputNames; vector de_szInputNames_; vector de_szOutputNames_; string window_type = "hamming"; int frame_length = 25; int frame_shift = 10; int n_mels = 80; int encoder_size = 512; int fsmn_layers = 16; int fsmn_lorder = 10; int fsmn_dims = 512; float cif_threshold = 1.0; float tail_alphas = 0.45; }; } // namespace funasr