diff --git a/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py b/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py
index 37c98a8d06..b3d8dcf6eb 100644
--- a/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py
+++ b/runtime/python/onnxruntime/funasr_onnx/sensevoice_bin.py
@@ -196,7 +196,24 @@ def __call__(self, wav_content: Union[str, np.ndarray, List[str]], **kwargs):
         return asr_res
 
     def load_data(self, wav_content: Union[str, np.ndarray, List[str]], fs: int = None) -> List:
+        
+        def convert_to_wav(input_path, output_path):
+            from pydub import AudioSegment
+            try:
+                audio = AudioSegment.from_mp3(input_path)
+                audio.export(output_path, format="wav")
+                print("音频文件为mp3格式，已转换为wav格式")
+                
+            except Exception as e:
+                print(f"转换失败:{e}")
+
         def load_wav(path: str) -> np.ndarray:
+            if not path.lower().endswith('.wav'):
+                import os
+                input_path = path
+                path = os.path.splitext(path)[0]+'.wav'
+                convert_to_wav(input_path,path) #将mp3格式转换成wav格式
+
             waveform, _ = librosa.load(path, sr=fs)
             return waveform
 
@@ -215,6 +232,10 @@ def extract_feat(self, waveform_list: List[np.ndarray]) -> Tuple[np.ndarray, np.
         feats, feats_len = [], []
         for waveform in waveform_list:
             speech, _ = self.frontend.fbank(waveform)
+
+            if speech is None or speech.size == 0:
+                print("detected speech size {speech.size}")
+                raise ValueError("Empty speech detected, skipping this waveform.")
             feat, feat_len = self.frontend.lfr_cmvn(speech)
             feats.append(feat)
             feats_len.append(feat_len)