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Once you've preprocessed your **voice data**, you'll need to convert it into a format that your machine learning model can use. This typically involves extracting features from the audio, such as *Mel-frequency cepstral coefficients* (MFCCs) or *linear predictive coding* (LPC) parameters. These features capture the unique characteristics of the voice and provide a numerical representation that the model can learn from.
