1 citations · 1 across the 3 of their papers we have counts for
3 papers
Emergent morpho-phonological representations in self-supervised speech models
Jon Gauthier, Canaan Breiss, Matthew Leonard +1
Self-supervised speech models can be trained to efficiently recognize spoken words in naturalistic, noisy environments. However, we do not understand the types of linguistic repres…
Learning Phonotactics from Linguistic Informants
Canaan Breiss, Alexis Ross, Amani Maina-Kilaas +2
We propose an interactive approach to language learning that utilizes linguistic acceptability judgments from an informant (a competent language user) to learn a grammar. Given a g…
Probing self-supervised speech models for phonetic and phonemic information: a case study in aspiration
Kinan Martin, Jon Gauthier, Canaan Breiss +1
Textless self-supervised speech models have grown in capabilities in recent years, but the nature of the linguistic information they encode has not yet been thoroughly examined. We…