1 citations · 1 across the 3 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
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…
cs.CL2024★ 1 cited
Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations
Mukhtar Mohamed, Oli Danyi Liu, Hao Tang +1
Self-supervised speech representations can hugely benefit downstream speech technologies, yet the properties that make them useful are still poorly understood. Two candidate proper…
cs.CL2024
A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech
Oli Danyi Liu, Hao Tang, Naomi Feldman +1
Speech perception involves storing and integrating sequentially presented items. Recent work in cognitive neuroscience has identified temporal and contextual characteristics in hum…