How do you approach light vocal artifact cleanup?

Marvinted

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 workflow note 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 learning habit should stay patient. Each small observation needs an audible reason. I compare several passages before drawing conclusions. The process remains practical for new members. A fresh listen can prevent us from chasing an imaginary issue. We keep clear notes about what we actually heard. The group should remain patient. Our examples need to stay modest. Every planned observation remains quick to revisit. I keep each note available 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? Practical listening exercises would help.