APEX jointly predicts popularity and aesthetic quality for AI-generated music from MERT embeddings and shows that aesthetic features improve human preference prediction on unseen generative systems.
MuQ-Eval: An open-source per-sample quality metric for AI music generation evaluation
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SAME is a semantically regularized transformer autoencoder for music that delivers 4096x compression with open-weights release of large and small variants.
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APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music
APEX jointly predicts popularity and aesthetic quality for AI-generated music from MERT embeddings and shows that aesthetic features improve human preference prediction on unseen generative systems.
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SAME: A Semantically-Aligned Music Autoencoder
SAME is a semantically regularized transformer autoencoder for music that delivers 4096x compression with open-weights release of large and small variants.