diff --git a/GPT_SoVITS/sv.py b/GPT_SoVITS/sv.py
index 00f0cff..fb5806f 100644
--- a/GPT_SoVITS/sv.py
+++ b/GPT_SoVITS/sv.py
@@ -1,6 +1,6 @@
 import sys,os,torch
 sys.path.append(f"{os.getcwd()}/GPT_SoVITS/eres2net")
-sv_path = "GPT_SoVITS\pretrained_models\sv\pretrained_eres2netv2w24s4ep4.ckpt"
+sv_path = "GPT_SoVITS/pretrained_models/sv/pretrained_eres2netv2w24s4ep4.ckpt"
 from ERes2NetV2 import ERes2NetV2
 import kaldi as Kaldi
 class SV:
@@ -16,9 +16,9 @@ class SV:
             self.embedding_model=self.embedding_model.half().to(device)
         self.is_half=is_half
 
-    def compute_embedding3(self,wav):#(1,x)#-1~1
+    def compute_embedding3(self,wav):
         with torch.no_grad():
             if self.is_half==True:wav=wav.half()
             feat = torch.stack([Kaldi.fbank(wav0.unsqueeze(0), num_mel_bins=80, sample_frequency=16000, dither=0) for wav0 in wav])
             sv_emb = self.embedding_model.forward3(feat)
-        return sv_emb
\ No newline at end of file
+        return sv_emb