most citedImproving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation

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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…