6 citations · 15 across the 7 of their papers we have counts for
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cs.CL2021★ 1 cited
Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation
Seongmin Park, Dongchan Shin, Sangyoun Paik +3
Fine-tuning pretrained language models (LMs) is a popular approach to automatic speech recognition (ASR) error detection during post-processing. While error detection systems often…
cs.CL2021
Finetuning Pretrained Transformers into Variational Autoencoders
Seongmin Park, Jihwa Lee
Text variational autoencoders (VAEs) are notorious for posterior collapse, a phenomenon where the model's decoder learns to ignore signals from the encoder. Because posterior colla…