Evidence map›Paper›PMID 42640843›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2026

Linguistically Informed Automated Estimates of Creak in Adductor Laryngeal Dystonia.

Brittany N Fletcher, Maxine Van Doren, Mara R Kapsner-Smith, Cara Sauder, Tanya L Eadie, Katherine L Marks, Laura E Toles, Cara E Stepp, Jenny Vojtech

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

What it found

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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

9 authors.

Brittany N FletcherDepartment of Speech, Language, & Hearing Sciences, Boston University, MA.
Maxine Van DorenDepartment of English, College of Arts and Letters, California State University, San Bernardino.
Mara R Kapsner-SmithDepartment of Speech, Language, & Hearing Sciences, Boston University, MA.ORCID 0000-0001-7770-6464
Cara SauderDepartment of Speech & Hearing Sciences, University of Washington, Seattle.ORCID 0000-0001-9218-3737
Tanya L EadieDepartment of Speech & Hearing Sciences, University of Washington, Seattle.ORCID 0000-0002-7697-1298
Katherine L MarksDepartment of Speech, Language, & Hearing Sciences, Boston University, MA.ORCID 0000-0001-5483-3794
Laura E TolesDepartment of Otolaryngology-Head and Neck Surgery, UT Southwestern Medical Center, Dallas, TX.ORCID 0000-0002-2665-3283
Cara E SteppDepartment of Speech, Language, & Hearing Sciences, Boston University, MA.ORCID 0000-0002-8045-252X
Jenny VojtechDepartment of Speech, Language, & Hearing Sciences, Boston University, MA.ORCID 0000-0002-0583-0228

Funding

Advanced Research Training in Communication Sciences and DisordersT32DC013017 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Cara E. Stepp · 2016 to 2026
$4.9M
Objective Measures for Clinical Assessment of Voice DisordersR01DC015570 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI STEPP, CARA E. · 2016 to 2025
$4.8M
Language and Executive Function in Females with ASD or FXSR01DC020439 · NIDCD · UNIVERSITY OF WISCONSIN-MADISON · PI Audra Marie Sterling · 2023 to 2026
$3.0M
NIDCD NIH HHS R01 DC015570NIDCD NIH HHS R01 DC020439NIDCD NIH HHS T32 DC013017
6 · The paper itself

Abstract

purposeCreaky voice is a perceptually low-pitched and irregular voice quality that has shown promise as an objective marker of adductor laryngeal dystonia (AdLD). However, creak also occurs in mainstream American English through linguistic processes (i.e., phrase-final creak, /t/ glottalization, word-initial vowel glottalization). This study investigated whether linguistically unexpected creak (i.e., creak occurring outside these phonological contexts) offers improved differentiation between AdLD and typical voices compared with total creak.

methodFifty speakers with AdLD and 50 age- and sex-matched controls read the first paragraph of

resultsBoth groups produced more expected than unexpected creak, but a significant interaction revealed that this difference was statistically weaker in the AdLD group. Between-groups differences were significantly larger for unexpected creak than for expected creak. Unexpected creak demonstrated superior diagnostic accuracy (area under the curve = .82 vs. .77,

conclusionsPathological creak in AdLD disrupts normal linguistic patterning, spreading disproportionately into unexpected contexts. Linguistically unexpected creak provides superior diagnostic discrimination compared with total creak, suggesting that acoustic biomarkers accounting for linguistic context can meaningfully enhance diagnostic accuracy for AdLD.

Indexed as

DystoniaLaryngeal DiseasesLinguisticsVoice DisordersVoice QualityAdultAgedAlgorithmsCase-Control StudiesFemaleHumansMaleMiddle AgedPhoneticsROC CurveSpeech Acoustics

Identifiers

PMID42640843
PMCPMC13678647

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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.