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CloudEar: Integrating Perceptual, Diagnostic, and Cross-Modal Evidence for Music Evaluation
Evaluating generated music requires modeling perceptual quality, technical audio quality, and prompt alignment. Existing methods often overlook signal-level defects, produce compressed quality scores, and miss fine-grained musical attributes in text prompts. We propose CloudEar, a pairwise framework
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