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Next comes *model training and fine-tuning*. This is where the deep learning model is trained on the preprocessed audio data. The model learns to identify patterns and characteristics of the voice. This training process often involves several philo abc iterations. Each iteration involves the model making predictions and then adjusting its parameters to improve accuracy. The model is also often fine-tuned. This is done to optimize its performance for specific tasks, such as generating speech from text.
