This paper explores contexts associated with errors in transcrip-tion of spontaneous speech, shedding light on human perceptionof disfluencies and other conversational speech phenomena. Anew version of the Switchboard corpus is provided with disfluency annotations for careful speech transcripts, together with results showing the impact of transcription errors on evaluation of automatic disfluency detection.
Cite
@article{arxiv.1904.04398,
title = {Disfluencies and Human Speech Transcription Errors},
author = {Vicky Zayats and Trang Tran and Richard Wright and Courtney Mansfield and Mari Ostendorf},
journal= {arXiv preprint arXiv:1904.04398},
year = {2019}
}