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The first step is data acquisition and preparation. This is where you gather the raw materials for your AI voice. It begins with collecting high-quality audio recordings of the target voice. These recordings should be clear, well-recorded, and free of background noise. The more data you collect, the better. This allows the AI model to capture a wider range of vocal characteristics. The data must then be prepared for the AI model. This involves cleaning the audio, removing any imperfections. It also includes transcribing the audio so that the AI model can associate the text with the corresponding speech. Data preparation is critical for the AI voice's success. This significantly impacts the final quality of the AI-generated voice.
