# How to Make Voice Models
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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.
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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:
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For local users, first ensure you meet the 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.
Last update: Mar 10, 2024