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Add readme to support aishell3
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@@ -30,10 +30,10 @@
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* Install webrtcvad `pip install webrtcvad-wheels`(If you need)
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> 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.
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### 2. Train synthesizer with your dataset
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* Download aidatatang_200zh or SLR68 dataset and unzip: make sure you can access all .wav in *train* folder
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* Download aidatatang_200zh or other dataset and unzip: make sure you can access all .wav in *train* folder
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* Preprocess with the audios and the mel spectrograms:
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`python synthesizer_preprocess_audio.py <datasets_root>`
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Allow parameter `--dataset {dataset}` to support adatatang_200zh, magicdata
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Allow parameter `--dataset {dataset}` to support adatatang_200zh, magicdata, aishell3
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>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.
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