Principal dimensions of self-supervised speech features encode isolated speaker characteristics including pitch, intensity, noise levels, and formants.
Layer-wise analysis of a self- supervised speech representation model,
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Interpreting Speaker Characteristics in the Dimensions of Self-Supervised Speech Features
Principal dimensions of self-supervised speech features encode isolated speaker characteristics including pitch, intensity, noise levels, and formants.