diff --git a/server/voice_changer/RVC/pipeline/Pipeline.py b/server/voice_changer/RVC/pipeline/Pipeline.py
index 0de9c6df..c9ab5ad5 100644
--- a/server/voice_changer/RVC/pipeline/Pipeline.py
+++ b/server/voice_changer/RVC/pipeline/Pipeline.py
@@ -189,6 +189,12 @@ class Pipeline(object):
                 pitch = pitch[:, :p_len]
                 pitchf = pitchf[:, :p_len]
 
+        feats_len = feats.shape[1]
+        if pitch is not None and pitchf is not None:
+            pitch = pitch[:, -feats_len:]
+            pitchf = pitchf[:, -feats_len:]
+        p_len = torch.tensor([feats_len], device=self.device).long()
+
         # pitchの推定が上手くいかない(pitchf=0)場合、検索前の特徴を混ぜる
         # pitchffの作り方の疑問はあるが、本家通りなので、このまま使うことにする。
         # https://github.com/w-okada/voice-changer/pull/276#issuecomment-1571336929
@@ -201,23 +207,11 @@ class Pipeline(object):
             feats = feats.to(feats0.dtype)
         p_len = torch.tensor([p_len], device=self.device).long()
 
-        feats_buffer = feats.squeeze(0).detach().cpu()
-        if pitchf is not None:
-            pitchf_buffer = pitchf.squeeze(0).detach().cpu()
-        else:
-            pitchf_buffer = None
         # apply silent front for inference
         if type(self.inferencer) in [OnnxRVCInferencer, OnnxRVCInferencerNono]:
             npyOffset = math.floor(silence_front * 16000) // 360
             feats = feats[:, npyOffset * 2 :, :]
-
-        feats_len = feats.shape[1]
-        if pitch is not None and pitchf is not None:
-            pitch = pitch[:, -feats_len:]
-            pitchf = pitchf[:, -feats_len:]
-        p_len = torch.tensor([feats_len], device=self.device).long()
         
-
         # 推論実行
         try:
             with torch.no_grad():
@@ -237,6 +231,12 @@ class Pipeline(object):
             else:
                 raise e
 
+        feats_buffer = feats.squeeze(0).detach().cpu()
+        if pitchf is not None:
+            pitchf_buffer = pitchf.squeeze(0).detach().cpu()
+        else:
+            pitchf_buffer = None
+
         del p_len, padding_mask, pitch, pitchf, feats
         torch.cuda.empty_cache()