A VQ-VAE with alignment-invariant reconstruction learns stable tokens of pitch-contour shapes from unlabeled audio and shows modest signal for sigimsae categories and pansori modes.
We test this with a minimal probing setup, a per- token MAP classifier — that isolates how much label- discriminative information is carried by individual tokens
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Pitch Contour Tokenization using VQ-VAE and Its Application on Korean Traditional Music Analysis
A VQ-VAE with alignment-invariant reconstruction learns stable tokens of pitch-contour shapes from unlabeled audio and shows modest signal for sigimsae categories and pansori modes.