Merge pull request #366 from asdfw13/4.1-Stable

Change preprocessing to rmvpe

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:
 

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
 

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'