1 citations · 1 across the 3 of their papers we have counts for
4 papers
The role of audio-visual integration in the time course of phonetic encoding in self-supervised speech models
Yi Wang, Oli Danyi Liu, Peter Bell
Human speech perception is multimodal. In natural speech, lip movements can precede corresponding voicing by a non-negligible gap of 100-300 ms, especially for specific consonants,…
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…
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…
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…