diff --git a/GPT_SoVITS/TTS_infer_pack/text_segmentation_method.py b/GPT_SoVITS/TTS_infer_pack/text_segmentation_method.py
index fda70a49..cf28f3fb 100644
--- a/GPT_SoVITS/TTS_infer_pack/text_segmentation_method.py
+++ b/GPT_SoVITS/TTS_infer_pack/text_segmentation_method.py
@@ -92,7 +92,7 @@ def cut0(inp):
     if not set(inp).issubset(punctuation):
         return inp
     else:
-        return "/n"
+        return "\n"
 
 
 # 凑四句一切
diff --git a/GPT_SoVITS/module/distrib.py b/GPT_SoVITS/module/distrib.py
index cabf8f8a..e96f8e00 100644
--- a/GPT_SoVITS/module/distrib.py
+++ b/GPT_SoVITS/module/distrib.py
@@ -87,7 +87,7 @@ def sync_buffer(buffers, average=True):
     for buffer, handle in handles:
         handle.wait()
         if average:
-            buffer.data /= world_size
+            buffer.data /= world_size()
 
 
 def sync_grad(params):
diff --git a/tools/asr/funasr_asr.py b/tools/asr/funasr_asr.py
index 6a5c9989..b4ddce9e 100644
--- a/tools/asr/funasr_asr.py
+++ b/tools/asr/funasr_asr.py
@@ -39,6 +39,7 @@ def create_model(language="zh"):
             local_dir="tools/asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch",
         )
         model_revision = "v2.0.4"
+        vad_model_revision = punc_model_revision = "v2.0.4"
     elif language == "yue":
         path_asr = "tools/asr/models/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online"
         snapshot_download(
@@ -51,8 +52,6 @@ def create_model(language="zh"):
     else:
         raise ValueError(f"{language} is not supported")
 
-    vad_model_revision = punc_model_revision = "v2.0.4"
-
     if language in funasr_models:
         return funasr_models[language]
     else:
diff --git a/tools/uvr5/lib/lib_v5/spec_utils.py b/tools/uvr5/lib/lib_v5/spec_utils.py
index 4d987cd8..d2d2bf34 100644
--- a/tools/uvr5/lib/lib_v5/spec_utils.py
+++ b/tools/uvr5/lib/lib_v5/spec_utils.py
@@ -485,6 +485,8 @@ def istft(spec, hl):
     wave_right = librosa.istft(spec_right, hop_length=hl)
     wave = np.asfortranarray([wave_left, wave_right])
 
+    return wave
+
 
 if __name__ == "__main__":
     import argparse