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.
Although the proposed method is applicable to any pitch contour-based musical tradition, such as Indian art music or pop vocal singing, we focus on Korean traditional music
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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.