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cs.CL2026
Do speech foundation models really learn words?
Robin Huo, Ewan Dunbar
Self-supervised speech foundation models are now used in a wide array of downstream applications, including traditional speech recognition and as the basis for tokens in speech-awa…
cs.CL2025
Iterative refinement, not training objective, makes HuBERT behave differently from wav2vec 2.0
Robin Huo, Ewan Dunbar
Self-supervised models for speech representation learning now see widespread use for their versatility and performance on downstream tasks, but the effect of model architecture on…
cs.CL2024
The Faetar Benchmark: Speech Recognition in a Very Under-Resourced Language
Michael Ong, Sean Robertson, Leo Peckham +7
We introduce the Faetar Automatic Speech Recognition Benchmark, a benchmark corpus designed to push the limits of current approaches to low-resource speech recognition. Faetar, a F…