AI RESEARCH
SongBench: A Fine-Grained Multi-Aspect Benchmark for Song Quality Assessment
arXiv CS.AI
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ArXi:2604.25937v1 Announce Type: cross Recent advancements in Text-to-Song generation have enabled realistic musical content production, yet existing evaluation benchmarks lack the professional granularity to capture multi-dimensional aesthetic nuances. In this paper, we propose SongBench, a specialized framework for fine-grained song assessment across seven key dimensions: Vocal, Instrument, Melody, Structure, Arrangement, Mixing, and Musicality.