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This repository provides a Google Colab notebook for voice cloning using the Coqui XTTS-V2 model. It allows users to clone voices from audio samples and generate speech in multiple languages.

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Voice Cloning with Coqui XTTS-V2 in Google Colab

This notebook demonstrates how to use the Coqui XTTS-V2 model for voice cloning within Google Colab. It provides a user-friendly interface and allows for customization of parameters like the input text, speaker audio, and output language.

Features

  • Voice Cloning: Clone voices from audio samples using the powerful XTTS-V2 model.
  • Multilingual Support: Generate speech in various languages including English, Spanish, French, German, and more.
  • Google Colab Integration: Runs seamlessly in Google Colab with GPU acceleration for optimal performance.
  • Easy-to-Use Interface: Simple and intuitive parameters for text input, speaker audio selection, and output customization.

How to Use

  1. Enable GPU Acceleration: In Google Colab, navigate to "Runtime" -> "Change runtime type" and select "GPU" as the hardware accelerator.
  2. Mount Google Drive: Run the provided code cell to mount your Google Drive and access your audio samples.
  3. Provide Input:
    • Text: Enter the text you want to be synthesized in the designated field.
    • Speaker Audio Path: Specify the path to the audio file containing the voice you want to clone. This file should be in your mounted Google Drive.
    • Output Folder: Choose the directory in your Google Drive where the synthesized audio will be saved.
    • Language: Select the language of the speaker from the dropdown menu.
  4. Run the Code: Execute the main code cell to initiate the voice cloning and speech synthesis process.
  5. Access Output: The generated audio file will be saved in the specified output folder in your Google Drive.

Requirements

  • Google Colab Account: You need a Google Colab account to run this notebook.
  • GPU Enabled: Ensure that GPU acceleration is enabled in your Colab runtime settings.

Installation

The necessary libraries will be installed automatically when you run the first code cell in the notebook.

Important Notes

  • The quality of the voice cloning depends on the quality and length of the speaker audio provided.
  • Experiment with different parameters to achieve the desired voice and speech output.

Disclaimer

This notebook is intended for educational and experimental purposes. The use of voice cloning technology should be ethical and responsible.


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Andres Castaño

Data Scientist | Geological Engineer

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This repository provides a Google Colab notebook for voice cloning using the Coqui XTTS-V2 model. It allows users to clone voices from audio samples and generate speech in multiple languages.

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