33 citations · 59 across the 8 of their papers we have counts for
10 papers
From Scores to Evidence: Auditable Decisions Can Improve Speech Deepfake Detection
Mengzhe Geng, Yujia Lu, Patrick Littell +2
Speech deepfake detectors usually emit one score per utterance, but a borderline score does not reveal why two examples differ during retrospective error analysis. We ask whether a…
Supporting SENCOTEN Language Documentation Efforts with Automatic Speech Recognition
Mengzhe Geng, Patrick Littell, Aidan Pine +3
The SENCOTEN language, spoken on the Saanich peninsula of southern Vancouver Island, is in the midst of vigorous language revitalization efforts to turn the tide of language loss a…
Neural Polysynthetic Language Modelling
Lane Schwartz, Francis Tyers, Lori Levin +18
Research in natural language processing commonly assumes that approaches that work well for English and and other widely-used languages are "language agnostic". In high-resource la…
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
Graham Neubig, Shruti Rijhwani, Alexis Palmer +21
Despite recent advances in natural language processing and other language technology, the application of such technology to language documentation and conservation has been limited…
AlloVera: A Multilingual Allophone Database
David R. Mortensen, Xinjian Li, Patrick Littell +6
We introduce a new resource, AlloVera, which provides mappings from 218 allophones to phonemes for 14 languages. Phonemes are contrastive phonological units, and allophones are the…
Universal Phone Recognition with a Multilingual Allophone System
Xinjian Li, Siddharth Dalmia, Juncheng Li +8
Multilingual models can improve language processing, particularly for low resource situations, by sharing parameters across languages. Multilingual acoustic models, however, genera…