FluencyBank Timestamped: An Updated Data Set for Disfluency Detection and Automatic Intended Speech Recognition.

Purpose: This work introduces updated transcripts, disfluency annotations, and word timings for FluencyBank, which we refer to as FluencyBank Timestamped. This data set will enable the thorough analysis of how speech processing models (such as speech recognition and disfluency detection models) perf...

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Bibliographic Details

Published in:	Journal of Speech, Language & Hearing Research Vol. 67; no. 11; pp. 4203 - 4216
Main Authors:	Romana, Amrit, Minxue Niu, Perez, Matthew, Mower Provost, Emily
Format:	Article
Published:	American Speech-Language-Hearing Association Nov2024
Subjects:	Linguistics Semantics Automatic speech recognition Stuttering Descriptive statistics Natural language processing Speech evaluation Speech perception Automation Comparative studies Data analysis software Auditory perception
Online Access:	View this record in EBSCOhost