Automated phonological analysis and treatment target selection using AutoPATT

Philip Combiths; Ray Amberg; Gregory Hedlund; Yvan Rose; Jessica A Barlow

doi:10.1080/02699206.2021.1896782

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Automated phonological analysis and treatment target selection using AutoPATT

Journal article

Peer reviewed

Automated phonological analysis and treatment target selection using AutoPATT

Philip Combiths, Ray Amberg, Gregory Hedlund, Yvan Rose and Jessica A Barlow

Clinical linguistics & phonetics, Vol.36(2-3), pp.203-218

03/2022

DOI: 10.1080/02699206.2021.1896782

PMID: 34085574

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Abstract

Automated analyses of speech samples can offer improved accuracy and timesaving advantages that streamline clinical assessment for children with a suspected speech sound disorder. In this paper, we introduce AutoPATT, an automated tool for clinical analysis of speech samples. This free, open-source tool was developed as a plug-in for Phon and follows the procedures of the Phonological Analysis and Treatment Target Selection protocol, including extraction of a phonetic inventory, phonemic inventory with corresponding minimal pairs, and initial consonant cluster inventory. AutoPATT also provides suggestions for complex treatment targets using evidence-based guidelines. Automated analyses and target suggestions were compared to manual analyses of 25 speech samples from children with phonological disorder. Results indicate that AutoPATT inventory analyses are more accurate than manual analyses. However, treatment targets generated by AutoPATT should be viewed as suggestions and not used to substitute necessary clinical judgement in the target selection process.

Phonology

automated assessment

phonological disorder

Details

Title: Subtitle: Automated phonological analysis and treatment target selection using AutoPATT
Creators: Philip Combiths - University of California
Ray Amberg - Alta Loma School District
Gregory Hedlund - Memorial University of Newfoundland
Yvan Rose - Memorial University of Newfoundland
Jessica A Barlow - San Diego State University
Resource Type: Journal article
Publication Details: Clinical linguistics & phonetics, Vol.36(2-3), pp.203-218
DOI: 10.1080/02699206.2021.1896782
PMID: 34085574
NLM abbreviation: Clin Linguist Phon
ISSN: 0269-9206
eISSN: 1464-5076
Publisher: Taylor & Francis
Grant note: DOI: 10.13039/100000002, name: National Institutes of Health, award: Grants F31 DC017697, R21 DC01720, and R01 HD051698-11
Language: English
Electronic publication date: 06/04/2021
Date published: 03/2022
Academic Unit: Communication Sciences and Disorders; Center for Social Science Innovation
Record Identifier: 9984158083702771

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