How to Make Voice Models
Last update: July 17, 2025
- Simple model training tutorial, using RVC -
1. Prepare dataset
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In the context of RVC, the dataset is an audio file containing the voice the model will replicate. It can be either speaking or singing.
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For the best results, having a clean dataset is crucial, so take the time to remove any undesired noises.
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Learn how.
2. Set up RVC
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With your dataset ready, it's time to set up RVC to train the model.
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There are plenty of versions of RVC, but these are the best ones for beginners. Pick according to your needs:
Locally
On the cloud
For local users, first ensure you meet the local minimum requirements.
3. Train the model
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Before you start training, we inform you that the training guides are oriented around using TensorBoard. Read about it & install it after setting up RVC.
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Good luck & remember to be patient! As this won't be an instant process.
You have reached the end.