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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…
cs.CL2024★ 1 cited
Quantifying the Role of Textual Predictability in Automatic Speech Recognition
Sean Robertson, Gerald Penn, Ewan Dunbar
A long-standing question in automatic speech recognition research is how to attribute errors to the ability of a model to model the acoustics, versus its ability to leverage higher…
cs.CL2023
Bigger is not Always Better: The Effect of Context Size on Speech Pre-Training
Sean Robertson, Ewan Dunbar
It has been generally assumed in the automatic speech recognition (ASR) literature that it is better for models to have access to wider context windows. Yet, many of the potential…