Automatic Speech Recognition of Conversational Speech in Individuals With Disordered Speech.

Purpose: This study examines the effectiveness of automatic speech recognition (ASR) for individuals with speech disorders, addressing the gap in performance between read and conversational ASR. We analyze the factors influencing this disparity and the effect of speech mode-specific training on ASR...

Full description

Bibliographic Details
Published in:	Journal of Speech, Language & Hearing Research Vol. 67; no. 11; pp. 4176 - 4186
Main Authors:	Tobin, Jimmy, Nelson, Phillip, MacDonald, Bob, Heywood, Rus, Cave, Richard, Seaver, Katie, Desjardins, Antoine, Pan-Pan Jiang, Green, Jordan R.
Format:	Article
Published:	American Speech-Language-Hearing Association Nov2024
Subjects:	United States United Kingdom Conversation Speech Artificial intelligence Cell phones Linguistics Communication Speech disorders Psychosocial factors Speech therapy Automatic speech recognition Speech therapists Scale analysis (Psychology) Multiple regression analysis Pilot projects Severity of illness index Descriptive statistics Physiological aspects of speech Metadata Artificial neural networks Automation Speech perception Comparative studies Confidence intervals Sensitivity & specificity (Statistics)
Online Access:	View this record in EBSCOhost