Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces. - Oli Danyi Liu; Hao Tang; Sharon Goldwater (INTERSPEECH, 2023)

Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations. - Mukhtar Mohamed; Oli Danyi Liu; Hao Tang; Sharon Goldwater (INTERSPEECH, 2024)

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; Sharon Goldwater (CoRR, 2024)

Analyzing the relationships between pretraining language, phonetic, tonal, and speaker information in self-supervised speech models. - Michele Gubian; Ioana Krehan; Oli Danyi Liu; James Kirby; Sharon Goldwater (CoRR, 2025)

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 001 (CoRR, 2025)