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Add readme to support aishell3

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Nemo 2021-08-25 23:14:30 +08:00
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README-CN.md
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* 下载 数据集并解压：确保您可以访问 *train* 文件夹中的所有音频文件（如.wav）
* 使用音频和梅尔频谱图进行预处理：
`python synthesizer_preprocess_audio.py <datasets_root>`
可以传入参数 --dataset `{dataset}` 支持 adatatang_200zh, magicdata
可以传入参数 --dataset `{dataset}` 支持 adatatang_200zh, magicdata, aishell3
> 假如你下载的 `aidatatang_200zh`文件放在D盘，`train`文件路径为 `D:\data\aidatatang_200zh\corpus\train` , 你的`datasets_root`就是 `D:\data\`
>假如發生 `頁面文件太小，無法完成操作`，請參考這篇[文章](https://blog.csdn.net/qq_17755303/article/details/112564030)，將虛擬內存更改為100G(102400)，例如:档案放置D槽就更改D槽的虚拟内存

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README.md
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* Install webrtcvad `pip install webrtcvad-wheels`(If you need)
> Note that we are using the pretrained encoder/vocoder but synthesizer, since the original model is incompatible with the Chinese sympols. It means the demo_cli is not working at this moment.
### 2. Train synthesizer with your dataset
* Download aidatatang_200zh or SLR68 dataset and unzip: make sure you can access all .wav in *train* folder
* Download aidatatang_200zh or other dataset and unzip: make sure you can access all .wav in *train* folder
* Preprocess with the audios and the mel spectrograms:
`python synthesizer_preprocess_audio.py <datasets_root>`
Allow parameter `--dataset {dataset}` to support adatatang_200zh, magicdata
Allow parameter `--dataset {dataset}` to support adatatang_200zh, magicdata, aishell3
>If it happens `the page file is too small to complete the operation`, please refer to this [video](https://www.youtube.com/watch?v=Oh6dga-Oy10&ab_channel=CodeProf) and change the virtual memory to 100G (102400), for example : When the file is placed in the D disk, the virtual memory of the D disk is changed.