1 citations · 1 across the 8 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.CL2025
Investigating Transcription Normalization in the Faetar ASR Benchmark
Leo Peckham, Michael Ong, Naomi Nagy +1
We examine the role of transcription inconsistencies in the Faetar Automatic Speech Recognition benchmark, a challenging low-resource ASR benchmark. With the help of a small, hand-…
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…