How to Make Voice Models

Last update: July 17, 2025

- Simple model training tutorial, using RVC -

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1. Prepare dataset

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.
For the best results, having a clean dataset is crucial, so take the time to remove any undesired noises.
Learn how.

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2. Set up RVC

With your dataset ready, it's time to set up RVC to train the model.
There are plenty of versions of RVC, but these are the best ones for beginners. Pick according to your needs:

‎ Locally

‎ On the cloud

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For local users, first ensure you meet the local minimum requirements.

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3. Train the model

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.
Good luck & remember to be patient! As this won't be an instant process.

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`You have reached the end.`

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