From b8825902d93d5017e44828316062dc8306b7ddcd Mon Sep 17 00:00:00 2001
From: Yabin Li <wucong.lyb@alibaba-inc.com>
Date: 星期二, 26 十二月 2023 10:51:00 +0800
Subject: [PATCH] support ngram and fst hotword for 2pass-offline (#1205)
---
runtime/onnxruntime/bin/funasr-onnx-2pass.cpp | 32 ++++++++++++++++++++++++++++++--
1 files changed, 30 insertions(+), 2 deletions(-)
diff --git a/runtime/onnxruntime/bin/funasr-onnx-2pass.cpp b/runtime/onnxruntime/bin/funasr-onnx-2pass.cpp
index b210927..abcc4b2 100644
--- a/runtime/onnxruntime/bin/funasr-onnx-2pass.cpp
+++ b/runtime/onnxruntime/bin/funasr-onnx-2pass.cpp
@@ -51,6 +51,11 @@
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");
@@ -65,6 +70,11 @@
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);
@@ -81,6 +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);
@@ -106,6 +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);
@@ -145,6 +166,9 @@
wav_list.emplace_back(wav_path_);
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
@@ -191,7 +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);
@@ -235,10 +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;
--
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