arXiv cs.AI
· Papers
Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders
arXiv:2511.05350v3 Announce Type: replace-cross Abstract: We argue that training autoencoders to reconstruct inputs from noised versions of their encodings, when combined with perceptually motivated losses, yields encodings that are structured according to a perceptual hierarchy. We demonstrate the emergence of this hi