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When given text to read, the AI transforms it into audio using the learned voice characteristics. The output is a synthetic voice that closely resembles the original, and it’s truly impressive. The key behind this is the deep learning models used, which are designed to capture the complexity of human speech. **_Free and unlimited_** platforms sometimes employ different models, ranging from simple to very complex. You might have seen some different approaches, such as **_text-to-speech_** models that generate audio directly from text and voice conversion models that convert the characteristics of one voice to another. These technologies have revolutionized the industry, offering a wide array of possibilities for users of all kinds. The overall process can be broken down into data collection, feature extraction, model training, and speech generation, all of which contribute to the final cloned voice. Voice cloning technology is a testament to the power of AI, changing the audio game with its capabilities.
