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FGORGEOUS
StableTTS_pytorch
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FGORGEOUS
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@@ -61,8 +61,9 @@ pip install -r requirements.txt # requirements.txt
...
@@ -61,8 +61,9 @@ pip install -r requirements.txt # requirements.txt
```
```
## 数据集
## 数据集
本步骤说明采用标贝女声数据集
`BZNSYP`
,其余音色数据参照
[
`recipes`
](
./recipes/
)
下的文件说明进行下载使用,项目中已提供
[
`BZNSYP`
](
./recipes/raw_datasets/BZNSYP.zip
)
迷你数据集进行试用,解压即可,完整BZNSYP数据集请从以下官网下载:
本步骤说明采用标贝女声数据集
`BZNSYP`
,其余音色数据参照
[
`recipes`
](
./recipes/
)
下的文件说明进行下载使用,项目中已提供
[
`BZNSYP`
](
./recipes/raw_datasets/BZNSYP.zip
)
迷你数据集进行试用,解压即可,完整BZNSYP数据集请从以下官网
或通过SCNet高速通道
下载:
-
https://www.data-baker.com/data/index/TNtts/
-
https://www.data-baker.com/data/index/TNtts/
-
http://113.200.138.88:18080/aidatasets/project-dependency/bznsyp/-/tree/master
数据目录结构如下:
数据目录结构如下:
```
```
...
@@ -97,10 +98,12 @@ python train.py
...
@@ -97,10 +98,12 @@ python train.py
## 推理
## 推理
100h chinese:
`checkpoint-zh_0.pt`
100h chinese:
`checkpoint-zh_0.pt`
-
https://huggingface.co/KdaiP/StableTTS/blob/main/checkpoint-zh_0.pt
-
[
huggingface
](
https://huggingface.co/KdaiP/StableTTS/blob/main/checkpoint-zh_0.pt
)
-
[
SCNet
](
http://113.200.138.88:18080/aimodels/findsource-dependency/stabletts_pytorch/-/blob/master/checkpoint-zh_0.pt
)
2k english + chinese + japanese:
`vocoder.pt`
2k english + chinese + japanese:
`vocoder.pt`
-
https://huggingface.co/KdaiP/StableTTS/blob/main/vocoder.pt
-
[
huggingface
](
https://huggingface.co/KdaiP/StableTTS/blob/main/vocoder.pt
)
-
[
SCNet
](
http://113.200.138.88:18080/aimodels/findsource-dependency/stabletts_pytorch/-/blob/master/vocoder.pt
)
```
```
export HIP_VISIBLE_DEVICES=0
export HIP_VISIBLE_DEVICES=0
mv vocoder.pt ./checkpoints/vocoder.pt
mv vocoder.pt ./checkpoints/vocoder.pt
...
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