Evidence map›Paper›PMID 41637267›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2026

Perceptual Ratings Predict Speech Inversion Articulatory Kinematics in Childhood Speech Sound Disorders.

Nina R Benway, Saba Tabatabaee, Dongliang Wang, Benjamin Munson, Jonathan L Preston, Carol Espy-Wilson

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nina R BenwayDepartment of Electrical and Computer Engineering, University of Maryland, College Park.ORCID 0000-0003-0955-9495
Saba TabatabaeeDepartment of Electrical and Computer Engineering, University of Maryland, College Park.
Dongliang WangPublic Health and Preventive Medicine, SUNY Upstate Medical University, Syracuse, NY.ORCID 0000-0003-4713-3516
Benjamin MunsonDepartment of Speech-Language-Hearing Sciences, University of Minnesota, Twin Cities, Minneapolis.ORCID 0000-0002-1547-6912
Jonathan L PrestonDepartment of Communication Sciences & Disorders, Syracuse University, NY.ORCID 0000-0001-9971-6321
Carol Espy-WilsonDepartment of Electrical and Computer Engineering, University of Maryland, College Park.ORCID 0000-0002-1012-183X

Funding

Intensive Speech Motor Chaining Treatment and Artificial Intelligence Integration for Residual Speech Sound DisordersR01DC020959 · NIDCD · SYRACUSE UNIVERSITY · PI Jonathan Preston · 2023 to 2026
$2.1M
NIDCD NIH HHS R01 DC020959
6 · The paper itself

Abstract

purposeThis study evaluated whether articulatory kinematics, inferred by articulatory phonology speech inversion neural networks, aligned with perceptual ratings of /ɹ/ and /s/ in the speech of children with speech sound disorders.

methodArticulatory phonology vocal tract variables were inferred for 5,961 utterances from 118 children and three adults, aged 2.25-45 years. Perceptual ratings were standardized using the novel 5-point PERCEPT Rating Scale and training protocol. Two research questions examined if the articulatory patterns of inferred vocal tract variables aligned with the perceptual error category for the phones investigated (e.g., tongue tip is more anterior in dentalized /s/ productions than in correct /s/). A third research question examined if gradient PERCEPT Rating Scale scores predicted articulatory proximity to correct productions.

resultsEstimated marginal means from linear mixed models supported 17 of 18 /ɹ/ hypotheses, involving tongue tip and tongue body constrictions. For /s/, estimated marginal means from a second linear mixed model supported seven of 15 hypotheses, particularly those related to the tongue tip. A third linear mixed model revealed that PERCEPT Rating Scale scores significantly predicted articulatory proximity of errored phones to correct productions.

conclusionsInferred vocal tract variables differentiated category and magnitude of articulatory errors for /ɹ/, and to a lesser extent for /s/, aligning with perceptual judgments. These findings support the clinical interpretability of speech inversion vocal tract variables and the PERCEPT Rating Scale in quantifying articulatory proximity to the target sound, particularly for /ɹ/. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.31152061.

Indexed as

PhoneticsSpeechSpeech PerceptionSpeech Sound DisorderAdolescentAdultBiomechanical PhenomenaChildChild, PreschoolFemaleHumansMaleMiddle AgedNeural Networks, ComputerSpeech Production MeasurementTongue

Identifiers

PMID41637267
PMCPMC12908235

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.