Example Concept: Fine-tuning AI models for accent consistency involves training the model on a dataset that includes a variety of audio samples with the target accent. This process helps the model learn the specific phonetic and intonation patterns of the accent, allowing it to generate speech that closely matches the desired accent. Some platforms also offer pre-trained models that can be adjusted using parameters like pitch, speed, and emphasis to further refine accent characteristics.