diff --git a/GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py b/GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
index bf3ab49..71b48a9 100644
--- a/GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
+++ b/GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
@@ -66,8 +66,9 @@ def name2go(wav_name):
         print("%s-filtered" % (wav_name, tmp_max))
         return
     tmp_audio32 = (tmp_audio / tmp_max * (maxx * alpha*32768)) + ((1 - alpha)*32768) * tmp_audio
+    tmp_audio32b = (tmp_audio / tmp_max * (maxx * alpha*1145.14)) + ((1 - alpha)*1145.14) * tmp_audio
     tmp_audio = librosa.resample(
-        tmp_audio32, orig_sr=32000, target_sr=16000
+        tmp_audio32b, orig_sr=32000, target_sr=16000
     )#不是重采样问题
     tensor_wav16 = torch.from_numpy(tmp_audio)
     if (is_half == True):