diff --git a/modelscope/pipelines/audio/speaker_verification_light_pipeline.py b/modelscope/pipelines/audio/speaker_verification_light_pipeline.py
index 41282067..e3d1968a 100644
--- a/modelscope/pipelines/audio/speaker_verification_light_pipeline.py
+++ b/modelscope/pipelines/audio/speaker_verification_light_pipeline.py
@@ -81,28 +81,24 @@ class SpeakerVerificationPipeline(Pipeline):
                     inputs: torch.Tensor,
                     in_audios: Union[np.ndarray, list],
                     save_dir=None):
-        if isinstance(in_audios[0], str):
-            if save_dir is not None:
-                # save the embeddings
-                os.makedirs(save_dir, exist_ok=True)
-                for i, p in enumerate(in_audios):
-                    save_path = os.path.join(
-                        save_dir, '%s.npy' %
-                        (os.path.basename(p).rsplit('.', 1)[0]))
-                    np.save(save_path, inputs[i].numpy())
+        if isinstance(in_audios[0], str) and save_dir is not None:
+            # save the embeddings
+            os.makedirs(save_dir, exist_ok=True)
+            for i, p in enumerate(in_audios):
+                save_path = os.path.join(
+                    save_dir, '%s.npy' %
+                    (os.path.basename(p).rsplit('.', 1)[0]))
+                np.save(save_path, inputs[i].numpy())
 
-            if len(in_audios) == 2:
-                # compute the score
-                score = self.compute_cos_similarity(inputs[0], inputs[1])
-                score = round(score, 5)
-                if score >= self.thr:
-                    ans = 'yes'
-                else:
-                    ans = 'no'
-                output = {OutputKeys.SCORE: score, OutputKeys.TEXT: ans}
+        if len(inputs) == 2:
+            # compute the score
+            score = self.compute_cos_similarity(inputs[0], inputs[1])
+            score = round(score, 5)
+            if score >= self.thr:
+                ans = 'yes'
             else:
-                output = {OutputKeys.TEXT: 'No similarity score output'}
-
+                ans = 'no'
+            output = {OutputKeys.SCORE: score, OutputKeys.TEXT: ans}
         else:
             output = {OutputKeys.TEXT: 'No similarity score output'}