diff --git a/utils/stt/funasr_utils.py b/utils/stt/funasr_utils.py
index 7ee2b74..07f7e78 100644
--- a/utils/stt/funasr_utils.py
+++ b/utils/stt/funasr_utils.py
@@ -26,9 +26,12 @@ class FunAutoSpeechRecognizer(STTBase):
                  chunk_ms=480, 
                  encoder_chunk_look_back=4, 
                  decoder_chunk_look_back=1, 
+                 mutli_cache_enable=True, 
                  **kwargs):
         super().__init__(RATE=RATE, cfg_path=cfg_path, debug=debug)
         
+        self.mutli_cache_enable = mutli_cache_enable
+        
         self.asr_model = AutoModel(model=model_path, device=device, **kwargs)
         
         self.encoder_chunk_look_back = encoder_chunk_look_back #number of chunks to lookback for encoder self-attention
@@ -79,9 +82,12 @@ class FunAutoSpeechRecognizer(STTBase):
     def _init_asr(self):
         # 随机初始化一段音频数据
         init_audio_data = np.random.randint(-32768, 32767, size=self.chunk_partial_size, dtype=np.int16)
-        self.session_signup("init")
-        self.asr_model.generate(input=init_audio_data, cache=self.asr_cache, is_final=False, chunk_size=self.chunk_size, encoder_chunk_look_back=self.encoder_chunk_look_back, decoder_chunk_look_back=self.decoder_chunk_look_back, session_id="init")
-        self.session_signout("init")
+        if self.mutli_cache_enable:
+            self.session_signup("init")
+            self.asr_model.generate(input=init_audio_data, cache=self.asr_cache, is_final=False, chunk_size=self.chunk_size, encoder_chunk_look_back=self.encoder_chunk_look_back, decoder_chunk_look_back=self.decoder_chunk_look_back, session_id="init")
+            self.session_signout("init")
+        else:
+            self.asr_model.generate(input=init_audio_data, cache=None, is_final=False, chunk_size=self.chunk_size, encoder_chunk_look_back=self.encoder_chunk_look_back, decoder_chunk_look_back=self.decoder_chunk_look_back)
         # print("init ASR model done.")
     
     # when chat trying to use asr , sign up
@@ -148,9 +154,10 @@ class FunAutoSpeechRecognizer(STTBase):
             speech_chunk = audio_cache[start_idx:end_idx]
 
             # TODO: exceptions processes
-            print("i:", i)
+            # print("i:", i)
             try:
-                res = self.asr_model.generate(input=speech_chunk, cache=self.asr_cache, is_final=is_end, chunk_size=self.chunk_size, encoder_chunk_look_back=self.encoder_chunk_look_back, decoder_chunk_look_back=self.decoder_chunk_look_back, session_id=session_id)
+                res = self.asr_model.generate(input=speech_chunk, cache=self.asr_cache, is_final=is_end, chunk_size=self.chunk_size, encoder_chunk_look_back=self.encoder_chunk_look_back, decoder_chunk_look_back=self.decoder_chunk_look_back, session_id=session_id if self.mutli_cache_enable else None)
+                # , session_id=session_id
             except ValueError as e:
                 print(f"ValueError: {e}")
                 continue