Can AI mix a song as well as a human engineer?
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Currently, AI can achieve a technically 'balanced' mix, but it cannot match a human engineer's ability to make emotional, creative decisions. AI functions best as a sophisticated assistant that handles repetitive, corrective tasks, whereas a human engineer understands the genre's nuances, the artist's intent, and the narrative flow of a song.
- 1.Utilize AI-assisted plugins to handle technical foundations, such as setting initial gain stages, identifying frequency masking, and basic compression settings.
- 2.Evaluate the AI's output against a professional reference track to identify where the 'emotion' or 'vibe' of the song might be lacking.
- 3.Apply manual automation and creative effects to highlight the song's narrative arc, as AI lacks the context to know which lyrics or instruments should lead at specific moments.
- รAI often over-processes audio, leading to a 'sterile' or 'flat' sound that lacks dynamic excitement.
- รAutomated mixing tools cannot fix poor arrangement or bad recording quality; they only balance what is provided.
- รAI lacks 'taste' and may apply generic settings that don't fit a specific sub-genre or experimental style.
Use AI tools for 'corrective' tasks (like EQ unmasking or resonance suppression) to save time, but save the 'creative' tasks (spatial placement and automation) for your own ears.
Based on AI training data โ may not reflect current information.
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