Update README.md
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README.md
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README.md
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@ -61,7 +61,7 @@ Although the pretrained model generally does not cause any copyright problems, p
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Simply place the dataset in the `dataset_raw` directory with the following file structure.
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```shell
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```
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dataset_raw
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├───speaker0
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│ ├───xxx1-xxx1.wav
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@ -73,6 +73,16 @@ dataset_raw
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└───xxx7-xxx007.wav
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```
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You can customize the speaker name.
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```
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dataset_raw
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└───suijiSUI
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├───1.wav
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├───...
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└───25788785-20221210-200143-856_01_(Vocals)_0_0.wav
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```
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## 🛠️ Preprocessing
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1. Resample to 44100Hz and mono
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@ -170,7 +180,7 @@ Use [onnx_export.py](https://github.com/svc-develop-team/so-vits-svc/blob/4.0/on
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Note: For Hubert Onnx models, please use the models provided by MoeSS. Currently, they cannot be exported on their own (Hubert in fairseq has many unsupported operators and things involving constants that can cause errors or result in problems with the input/output shape and results when exported.) [Hubert4.0](https://huggingface.co/NaruseMioShirakana/MoeSS-SUBModel)
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## Previous contributors
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## ☀️ Previous contributors
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For some reason the author deleted the original repository. Because of the negligence of the organization members, the contributor list was cleared because all files were directly reuploaded to this repository at the beginning of the reconstruction of this repository. Now add a previous contributor list to README.md.
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@ -61,7 +61,7 @@ http://obs.cstcloud.cn/share/obs/sankagenkeshi/checkpoint_best_legacy_500.pt
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仅需要以以下文件结构将数据集放入dataset_raw目录即可
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```shell
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```
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dataset_raw
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├───speaker0
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│ ├───xxx1-xxx1.wav
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@ -73,6 +73,16 @@ dataset_raw
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└───xxx7-xxx007.wav
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```
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可以自定义说话人名称
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```
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dataset_raw
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└───suijiSUI
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├───1.wav
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├───...
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└───25788785-20221210-200143-856_01_(Vocals)_0_0.wav
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```
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## 🛠️ 数据预处理
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1. 重采样至44100Hz单声道
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@ -170,7 +180,7 @@ python inference_main.py -m "logs/44k/G_30400.pth" -c "configs/config.json" -n "
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+ 注意:Hubert Onnx模型请使用MoeSS提供的模型,目前无法自行导出(fairseq中Hubert有不少onnx不支持的算子和涉及到常量的东西,在导出时会报错或者导出的模型输入输出shape和结果都有问题)
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[Hubert4.0](https://huggingface.co/NaruseMioShirakana/MoeSS-SUBModel)
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## 旧贡献者
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## ☀️ 旧贡献者
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因为某些原因原作者进行了删库处理,本仓库重建之初由于组织成员疏忽直接重新上传了所有文件导致以前的contributors全部木大,现在在README里重新添加一个旧贡献者列表
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