Automated speech analysis tools for children's speech production: A systematic literature review

Purpose: A systematic search and review of published studies was conducted on the use of automated speech analysis (ASA) tools for analysing and modifying speech of typically-developing children learning a foreign language and children with speech sound disorders to determine (i) types, attributes,...

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Bibliographic Details
Published in:International journal of speech language pathology 2018-10, Vol.20 (6), p.583-598
Main Authors: McKechnie, J., Ahmed, B., Gutierrez-Osuna, R., Monroe, P., McCabe, P., Ballard, K. J.
Format: Article
Language:English
Subjects:
Accuracy
automatic speech recognition
Automation
Children
Feedback
Foreign language learning
Intelligibility
Judgment
Meta-analysis
Pronunciation
prosody
Speech
Speech disorders
Speech production
speech sound disorder
Speech therapy
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Summary:Purpose: A systematic search and review of published studies was conducted on the use of automated speech analysis (ASA) tools for analysing and modifying speech of typically-developing children learning a foreign language and children with speech sound disorders to determine (i) types, attributes, and purposes of ASA tools being used; (ii) accuracy against human judgment; and (iii) performance as therapeutic tools. Method: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were applied. Across nine databases, 32 articles published between January 2007 and December 2016 met inclusion criteria: (i) focussed on children's speech; (ii) tools used for speech analysis or modification; and (iii) reporting quantitative data on accuracy. Result: Eighteen ASA tools were identified. These met the clinical threshold of 80% agreement with human judgment when used as predictors of intelligibility, impairment severity, or error category. Tool accuracy was typically 
ISSN:1754-9507
1754-9515
DOI:10.1080/17549507.2018.1477991