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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

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: This study evaluated whether articulatory kinematics, inferred by artic-ulatory phonology speech inversion neural networks, aligned with perceptual ratings of/ɹ/and/s/in the speech of children with speech sound disorders. Method: Articulatory 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/pro-ductions than in correct/s/). A third research question examined if gradient PERCEPT Rating Scale scores predicted articulatory proximity to correct productions. Results: Estimated 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. Conclusions: Inferred vocal tract variables differentiated category and magni-tude of articulatory errors for/ɹ/, and to a lesser extent for/s/, aligning with per-ceptual 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/.

Original languageEnglish (US)
Pages (from-to)541-561
Number of pages21
JournalJournal of Speech, Language, and Hearing Research
Volume69
Issue number2
DOIs
StatePublished - Feb 2026

Bibliographical note

Publisher Copyright:
© 2026 American Speech-Language-Hearing Association.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

PubMed: MeSH publication types

  • Journal Article

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