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I would like to build a small workshop exercise around audio repair. The aim is to help participants describe what they hear before they decide which version they prefer, rather than treating every change as an improvement. The source would be a generated music excerpt. Keeping the excerpt constant would be the first rule. A page discussing ai music artifact removal gave me a starting point for the topic, but it does not settle how to structure the exercise. I would match playback levels before presenting the versions. I could collect short descriptions before revealing the version names. We should include the untouched source in the set. Separate questions about texture and clarity would keep the discussion specific. We could repeat the excerpts in a different order and discuss disagreements, since a single preference vote would reveal little about the reasons behind it. What listening criteria would you add to this exercise? |
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