Merge branch 'main' of github.com:alibaba-damo-academy/FunASR

add

README.md

@@ -17,7 +17,7 @@
 | [**Quick Start**](#quick-start)
 | [**Runtime**](./runtime/readme.md)
 | [**Model Zoo**](#model-zoo)
-| [**Contact**](#community-communication)
+| [**Contact**](#contact)
 
 
 <a name="highlights"></a>
@@ -126,7 +126,7 @@ FunASR supports deploying pre-trained or further fine-tuned models for service.
 For more detailed information, please refer to the [service deployment documentation](runtime/readme.md).
 
 
-<a name="Community Communication"></a>
+<a name="contact"></a>
 ## Community Communication
 If you encounter problems in use, you can directly raise Issues on the github page.
 

funasr/bin/build_trainer.py

@@ -548,7 +548,10 @@ def build_trainer(modelscope_dict,
     init_param = modelscope_dict['init_model']
     cmvn_file = modelscope_dict['cmvn_file']
     seg_dict_file = modelscope_dict['seg_dict']
+    if 'bpemodel' in modelscope_dict:
         bpemodel = modelscope_dict['bpemodel']
+    else:
+        bpemodel = None
 
     # overwrite parameters
     with open(config) as f:
@@ -582,7 +585,7 @@ def build_trainer(modelscope_dict,
         args.seg_dict_file = seg_dict_file
     else:
         args.seg_dict_file = None
-    if os.path.exists(bpemodel):
+    if bpemodel is not None and os.path.exists(bpemodel):
         args.bpemodel = bpemodel
     else:
         args.bpemodel = None

runtime/onnxruntime/bin/funasr-onnx-2pass-rtf.cpp

@@ -279,7 +279,7 @@ int main(int argc, char** argv)
     // 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_);
 

runtime/onnxruntime/bin/funasr-onnx-2pass.cpp

@@ -113,7 +113,7 @@ int main(int argc, char** argv)
     // 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_);
 

runtime/onnxruntime/src/tokenizer.cpp

@@ -17,8 +17,12 @@ CTokenizer::CTokenizer():m_ready(false)
 
 CTokenizer::~CTokenizer()
 {
+	if (jieba_dict_trie_){
 		delete jieba_dict_trie_;
+	}
+	if (jieba_model_){
     	delete jieba_model_;
+	}
 }
 
 void CTokenizer::SetJiebaRes(cppjieba::DictTrie *dict, cppjieba::HMMModel *hmm) {

runtime/onnxruntime/src/tokenizer.h

@@ -17,8 +17,8 @@ private:
 	vector<string>   m_id2token,m_id2punc;
 	map<string, int>  m_token2id,m_punc2id;
 
-	cppjieba::DictTrie *jieba_dict_trie_;
+	cppjieba::DictTrie *jieba_dict_trie_=nullptr;
-    cppjieba::HMMModel *jieba_model_;
+    cppjieba::HMMModel *jieba_model_=nullptr;
 	cppjieba::Jieba jieba_processor_;
 
 public: