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This repo will guide you to add your own character voices, or even your own voice, into existing VITS TTS model to make it able to do the following tasks in less than 1 hour:

1. Many-to-many voice conversion between any characters you added & preset characters in the model.
2. English, Japanese & Chinese Text-to-Speech synthesis with the characters you added & preset characters

Welcome to play around with the base models!
Chinese & English & Japanese： Author: Me

Chinese & Japanese： Author: SayaSS

• Clone character voice from 10+ short audios
• Clone character voice from long audio(s) >= 3 minutes (one audio should contain single speaker only)
• Clone character voice from videos(s) >= 3 minutes (one video should contain single speaker only)
• Clone character voice from BILIBILI video links (one video should contain single speaker only)

• Any character you wish as long as you have their voices! (Note that voice conversion can only be conducted between any two speakers in the model)

It's recommended to perform fine-tuning on Google Colab because the original VITS has some dependencies that are difficult to configure.

1. Install dependencies (3 min)
2. Choose pretrained model to start. The detailed differences between them are described in Colab Notebook
3. Upload the voice samples of the characters you wish to add，see DATA.MD for detailed uploading options.
4. Start fine-tuning. Time taken varies from 20 minutes ~ 2 hours, depending on the number of voices you uploaded.

0. Remember to download your fine-tuned model!
1. Download the latest release
2. Put your model & config file into the folder inference, which are named G_latest.pth and finetune_speaker.json, respectively.
3. The file structure should be as follows:

inference
├───inference.exe
├───...
├───finetune_speaker.json
└───G_latest.pth

4. run inference.exe, the browser should pop up automatically.

0. Prepare downloaded model & config file, which are named G_latest.pth and moegoe_config.json, respectively.
1. Follow MoeGoe page instructions to install, configure path, and use.