Example Concept: AI-generated speech clarity is affected by the TTS model's ability to simulate natural speech patterns and its robustness to background noise. Advanced models use neural networks to adapt to various acoustic environments by adjusting pitch, tone, and speed. Additionally, post-processing techniques such as noise reduction and equalization can further enhance clarity, ensuring the speech remains intelligible across different settings.