How To Train AI Voice Models ONLINE For FREE (No GPU Needed)

Step-by-Step Tutorial: Training AI Voice Models Online for Free

Step 1: Set Up Dependencies

1. Click on the provided Google Colab link to access the notebook for training AI voice models.
2. Run all the dependencies by clicking on the respective commands.
3. Note that this notebook is not officially authored by Google, so proceed at your own discretion.

Step 2: Prepare Audio Files

1. Collect audio clips of the desired voice model (e.g., Gura) from online sources.
2. Ensure the audio files are in WAV format; you can use free software like Audacity to convert MP3 files to WAV.
3. Create a folder with the character's name (e.g., "gura") and place the audio files inside.
4. Zip the folder and upload it to Google Drive.

Step 3: Upload Files to Google Drive

1. Open Google Drive and create a folder named "RVC disconnected" if it doesn't exist.
2. Drag and drop the zipped folder containing the audio files into the "RVC disconnected" folder.
3. Wait for the upload to complete before proceeding.

Step 4: Import Data and Pre-process

1. Run the cell to import the dataset and pre-process the audio files.
2. Verify that the process has finished by checking for a green check mark.

Step 5: Train the Voice Model

1. Set the experiment name and adjust settings like batch size, total epochs, and save frequency.
2. Run the training cell and monitor the progress as it iterates through the epochs.
3. Ensure the training completes successfully up to the specified number of epochs.

Step 6: Export the Model

1. Once training is done, export the model to your Google Drive.
2. Locate the generated model files in the "RVC disconnected" folder.
3. Download the necessary files (e.g., .pth) for future use or further training.

Step 7: Resume Training (Optional)

1. If you wish to train the model further in the future, reopen the Colab notebook.
2. Follow the steps to resume training from where you left off by inputting the appropriate model numbers.

Step 8: Voice Conversion (Optional)

1. To convert voices using the trained model, open the provided conversion tool.
2. Select the desired voice model and adjust settings like pitch if necessary.
3. Add your input file and configure any additional settings before running the conversion process.

Additional Tips:

• Ensure to maintain activity in the Google Colab session to prevent disconnection during training.
• Follow the provided guidelines for naming files and folders to avoid issues.
• Consider collecting more audio data for higher-quality voice models.
• Explore further training options and tools for voice conversion as needed.

By following these steps, you can successfully train AI voice models online for free using Google Colab without the need for a GPU.