Example Concept: Emotion detection in AI-generated voiceovers can be improved by using advanced neural network models that are trained on diverse datasets containing varied emotional expressions. By fine-tuning these models with additional data that includes a wide range of emotions, and adjusting parameters such as pitch, speed, and tone, the AI can more accurately replicate human-like emotional nuances in speech.