How do you approach light vocal artifact cleanup?

I joined a small listening club that compares ordinary headphones with simple spectrogram views, and we recently noticed a few unusual streaks in AI-generated music. We are not trying to diagnose every mark as a problem. Instead, we want to learn which visual details deserve another careful listen. I found this comparison page while searching for explanations that do not promise certainty. It helped me frame the image as one clue rather than a verdict. I usually play a short section first, then inspect the same place on the display. The visual habit should stay curious. Each brief observation needs an audible reason. I compare individual passages before drawing conclusions. The process remains clear for new members. A short listen can prevent us from chasing an imaginary issue. We keep clear notes about what we actually heard. The group should remain curious. Our examples need to stay relevant. Every planned observation remains easy to revisit. I keep one note visible for discussion. I would rather ask a question than claim certainty from one picture. How did you learn to connect what you hear with what you see without turning the display into a shortcut? I appreciate thoughtful guidance.