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Merge pull request #366 from asdfw13/4.1-Stable
Change preprocessing to rmvpe
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commit
8fd0d43902
@ -318,7 +318,7 @@ fcpe
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If the training set is too noisy,it is recommended to use `crepe` to handle f0
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If the f0_predictor parameter is omitted, the default value is `dio`
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If the f0_predictor parameter is omitted, the default value is `rmvpe`
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If you want shallow diffusion (optional), you need to add the `--use_diff` parameter, for example:
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@ -323,7 +323,7 @@ fcpe
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如果训练集过于嘈杂,请使用 crepe 处理 f0
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如果省略 f0_predictor 参数,默认值为 dio
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如果省略 f0_predictor 参数,默认值为 rmvpe
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尚若需要浅扩散功能(可选),需要增加--use_diff 参数,比如
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@ -137,7 +137,7 @@ if __name__ == "__main__":
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'--use_diff',action='store_true', help='Whether to use the diffusion model'
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)
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parser.add_argument(
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'--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)'
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'--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)'
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)
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parser.add_argument(
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'--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'
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