diff --git a/README.md b/README.md
index 26fd7ed..d144d81 100644
--- a/README.md
+++ b/README.md
@@ -318,7 +318,7 @@ fcpe
 
 If the training set is too noisy,it is recommended to use `crepe` to handle f0
 
-If the f0_predictor parameter is omitted, the default value is `dio`
+If the f0_predictor parameter is omitted, the default value is `rmvpe`
 
 If you want shallow diffusion (optional), you need to add the `--use_diff` parameter, for example:
 
diff --git a/README_zh_CN.md b/README_zh_CN.md
index f1b91ab..32d5d2b 100644
--- a/README_zh_CN.md
+++ b/README_zh_CN.md
@@ -323,7 +323,7 @@ fcpe
 
 如果训练集过于嘈杂，请使用 crepe 处理 f0
 
-如果省略 f0_predictor 参数，默认值为 dio
+如果省略 f0_predictor 参数，默认值为 rmvpe
 
 尚若需要浅扩散功能（可选），需要增加--use_diff 参数，比如
 
diff --git a/preprocess_hubert_f0.py b/preprocess_hubert_f0.py
index 6ae51c6..0c48210 100644
--- a/preprocess_hubert_f0.py
+++ b/preprocess_hubert_f0.py
@@ -137,7 +137,7 @@ if __name__ == "__main__":
         '--use_diff',action='store_true', help='Whether to use the diffusion model'
     )
     parser.add_argument(
-        '--f0_predictor', type=str, default="dio", help='Select F0 predictor, can select crepe,pm,dio,harvest,rmvpe,fcpe|default: pm(note: crepe is original F0 using mean filter)'
+        '--f0_predictor', type=str, default="rmvpe", help='Select F0 predictor, can select crepe,pm,dio,harvest,rmvpe,fcpe|default: pm(note: crepe is original F0 using mean filter)'
     )
     parser.add_argument(
         '--num_processes', type=int, default=1, help='You are advised to set the number of processes to the same as the number of CPU cores'