Voice Cloning Application Using RVC

Create a voice cloning application using deep learning, with steps for data preparation, model training, and voice inference to generate realistic and customizable voice clones.

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$15 USD

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Project Template Outcomes

By accomplishing this task of voice cloning, not only will you earn some technical expertise but practical applications as well. Here are the outcomes proven to be effective:

  • Recreate any voice using only its audio samples which can be useful in the media and entertainment business among many others.
  • Design voice assistants for different gadgets that create a distinct voice for a brand or an individual.
  • Develop voice interactive systems for visually impaired persons and also even those with speech difficulties.
  • Voice cloning technology can assist in companies' call centers by providing a friendly yet human voice and engagement to customers.
  • It allows pitch modification and other features of voices, for example, male to female conversion.
  • Learn how to use RVC and use it to achieve the closest voice possible.
  • Voice cloning models are trained in a short time using Google Colab, and free GPUS.
  • Include TensorBoard in your model training to evaluate training performance in helping with the training progress.
  • By using RVC studios can recreate the voices of actors even if they're unavailable for dubbing.

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