Objective Intelligibility Assessment by Automated Segmental and Suprasegmental Listening Error Analysis.

Purpose: Subjective speech intelligibility assessment is often preferred over more objective approaches that rely on transcript scoring. This is, in part, because of the intensive manual labor associated with extracting objective metrics from transcribed speech. In this study, we propose an automate...

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Bibliographic Details

Published in:	Journal of Speech, Language & Hearing Research Vol. 62; no. 9; pp. 3359 - 3367
Main Authors:	Jiao, Yishan, LaCross, Amy, Berisha, Visar, Liss, Julie
Format:	Article
Published:	American Speech-Language-Hearing Association Sep2019
Subjects:	Linguistics Sensory perception Algorithms Dysarthria Listening Regression analysis Research evaluation Research funding Speech evaluation Speech perception Surveys Phonological awareness Data analysis software Descriptive statistics
Online Access:	View this record in EBSCOhost