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update readmes
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README.md

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@@ -118,6 +118,8 @@ python export_ckpt.py --ckpt_path (your ckpt path) --save_path (output ckpt pat
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微调 nsf-hifigan 声码器请将 [releases](https://github.com/openvpi/SingingVocoders/releases) 中的权重解压后放至主目录下,并使用 [ft_hifigan.yaml](configs%2Fft_hifigan.yaml)
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微调请使用 44100 Hz 采样率音频,并不要修改其他 mel 参数,除非你明确知道你在做什么
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微调功能使用请参考 openvpi/DiffSinger [项目文档](https://github.com/openvpi/DiffSinger/blob/main/docs/BestPractices.md#fine-tuning-and-parameter-freezing)
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导出的权重可以在 [DDSP-SVC](https://github.com/yxlllc/DDSP-SVC), [Diffusion-SVC](https://github.com/CNChTu/Diffusion-SVC), [so-vits-svc](https://github.com/svc-develop-team/so-vits-svc)[DiffSinger (openvpi)](https://github.com/openvpi/DiffSinger) 等项目中使用

README_en.md

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To fine-tune the nsf-hifigan vocoder, please unzip the weights in [releases](https://github.com/openvpi/SingingVocoders/releases) and put them in the main directory, and use [ft_hifigan.yaml](configs%2Fft_hifigan.yaml)
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For fine-tuning please use 44100 Hz samplerate audio and do not modify other mel parameters unless you know exactly what you are doing
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How to use the fine-tuning function is recommended to refer to the openvpi/DiffSinger [project documentation](https://github.com/openvpi/DiffSinger/blob/main/docs/BestPractices.md#fine-tuning-and-parameter-freezing)
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The exported weights can be used in project such as [DDSP-SVC](https://github.com/yxlllc/DDSP-SVC), [Diffusion-SVC](https://github.com/CNChTu/Diffusion-SVC), [so-vits-svc](https://github.com/svc-develop-team/so-vits-svc) and [DiffSinger (openvpi)](https://github.com/openvpi/DiffSinger)

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