2 papers
cs.CL2026
Perceptual compensation for tonal context in self-supervised speech models
James Kirby, Ioana Krehan, Michele Gubian
This study examines the extent to which the wav2vec2.0 architecture exhibits evidence of compensation for phonological context. We conducted a pseudo-replication of a perceptional…
cs.CL2025
Analyzing the relationships between pretraining language, phonetic, tonal, and speaker information in self-supervised speech models
Michele Gubian, Ioana Krehan, Oli Liu +2
Analyses of self-supervised speech models have begun to reveal where and how they represent different types of information. However, almost all analyses have focused on English. He…