From 8912e0696af069de47646fdb8a9d9c4e086e88b3 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期日, 14 一月 2024 23:42:11 +0800
Subject: [PATCH] Resolve merge conflict

---
 runtime/onnxruntime/bin/funasr-onnx-2pass.cpp |   36 +++++++++++++++++++++++++++++++++---
 1 files changed, 33 insertions(+), 3 deletions(-)

diff --git a/runtime/onnxruntime/bin/funasr-onnx-2pass.cpp b/runtime/onnxruntime/bin/funasr-onnx-2pass.cpp
index 5af0b41..abcc4b2 100644
--- a/runtime/onnxruntime/bin/funasr-onnx-2pass.cpp
+++ b/runtime/onnxruntime/bin/funasr-onnx-2pass.cpp
@@ -51,10 +51,16 @@
     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::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: 闃块噷宸村反 20)", false, "", "string");
 
     cmd.add(offline_model_dir);
@@ -64,8 +70,14 @@
     cmd.add(vad_quant);
     cmd.add(punc_dir);
     cmd.add(punc_quant);
+    cmd.add(lm_dir);
+    cmd.add(global_beam);
+    cmd.add(lattice_beam);
+    cmd.add(am_scale);
+    cmd.add(fst_inc_wts);
     cmd.add(itn_dir);
     cmd.add(wav_path);
+    cmd.add(audio_fs);
     cmd.add(asr_mode);
     cmd.add(onnx_thread);
     cmd.add(hotword);
@@ -79,6 +91,7 @@
     GetValue(vad_quant, VAD_QUANT, model_path);
     GetValue(punc_dir, PUNC_DIR, model_path);
     GetValue(punc_quant, PUNC_QUANT, model_path);
+    GetValue(lm_dir, LM_DIR, model_path);
     GetValue(itn_dir, ITN_DIR, model_path);
     GetValue(wav_path, WAV_PATH, model_path);
     GetValue(asr_mode, ASR_MODE, model_path);
@@ -104,6 +117,16 @@
         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();
+    }
+    // init wfst decoder
+    FUNASR_DEC_HANDLE decoder_handle = FunASRWfstDecoderInit(tpass_handle, ASR_TWO_PASS, glob_beam, lat_beam, am_sc);
 
     gettimeofday(&end, NULL);
     long seconds = (end.tv_sec - start.tv_sec);
@@ -144,6 +167,9 @@
         wav_ids.emplace_back(default_id);
     }
 
+    // load hotwords list and build graph
+    FunWfstDecoderLoadHwsRes(decoder_handle, fst_inc_wts.getValue(), hws_map);
+
     std::vector<std::vector<float>> hotwords_embedding = CompileHotwordEmbedding(tpass_handle, nn_hotwords_, ASR_TWO_PASS);
     // init online features
     std::vector<int> chunk_size = {5,10,5};
@@ -154,7 +180,7 @@
         auto& wav_file = wav_list[i];
         auto& wav_id = wav_ids[i];
 
-        int32_t sampling_rate_ = 16000;
+        int32_t sampling_rate_ = audio_fs.getValue();
         funasr::Audio audio(1);
 		if(is_target_file(wav_file.c_str(), "wav")){
 			if(!audio.LoadWav2Char(wav_file.c_str(), &sampling_rate_)){
@@ -189,7 +215,9 @@
                     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);
+            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, NULL);
             seconds = (end.tv_sec - start.tv_sec);
             taking_micros += ((seconds * 1000000) + end.tv_usec) - (start.tv_usec);
@@ -233,10 +261,12 @@
             }
         }
     }
- 
+
+    FunWfstDecoderUnloadHwsRes(decoder_handle);
     LOG(INFO) << "Audio length: " << (double)snippet_time << " s";
     LOG(INFO) << "Model inference takes: " << (double)taking_micros / 1000000 <<" s";
     LOG(INFO) << "Model inference RTF: " << (double)taking_micros/ (snippet_time*1000000);
+    FunASRWfstDecoderUninit(decoder_handle);
     FunTpassOnlineUninit(tpass_online_handle);
     FunTpassUninit(tpass_handle);
     return 0;

--
Gitblit v1.9.1