Academic Journal

Linguistically Informed Automated Estimates of Creak in Adductor Laryngeal Dystonia.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Linguistically Informed Automated Estimates of Creak in Adductor Laryngeal Dystonia.
Συγγραφείς: Fletcher BN; Department of Speech, Language, & Hearing Sciences, Boston University, MA.; School of Communication Sciences and Disorders, University of Central Florida, Orlando, FL., Van Doren M; Department of English, College of Arts and Letters, California State University, San Bernardino., Kapsner-Smith MR; Department of Speech, Language, & Hearing Sciences, Boston University, MA.; Department of Speech & Hearing Sciences, University of Washington, Seattle., Sauder C; Department of Speech & Hearing Sciences, University of Washington, Seattle., Eadie TL; Department of Speech & Hearing Sciences, University of Washington, Seattle.; Department of Otolaryngology-Head and Neck Surgery, University of Washington Medical Center, Seattle, WA., Marks KL; Department of Speech, Language, & Hearing Sciences, Boston University, MA.; Department of Otolaryngology-Head and Neck Surgery, Emory University, Atlanta, GA., Toles LE; Department of Otolaryngology-Head and Neck Surgery, UT Southwestern Medical Center, Dallas, TX., Stepp CE; Department of Speech, Language, & Hearing Sciences, Boston University, MA.; Department of Otolaryngology-Head & Neck Surgery, Boston University Medical School, MA.; Department of Biomedical Engineering, Boston University, MA., Vojtech J; Department of Speech, Language, & Hearing Sciences, Boston University, MA.
Πηγή: Journal of speech, language, and hearing research : JSLHR [J Speech Lang Hear Res] 2026 Oct 13; Vol. 69 (10), pp. 4809-4821. Date of Electronic Publication: 2026 Aug 25.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: American Speech-Language-Hearing Association Country of Publication: United States NLM ID: 9705610 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-9102 (Electronic) Linking ISSN: 10924388 NLM ISO Abbreviation: J Speech Lang Hear Res Subsets: MEDLINE
Imprint Name(s): Original Publication: Rockville, MD : American Speech-Language-Hearing Association, c1997-
Ιατρικοί όροι (MeSH): Dystonia*/physiopathology , Dystonia*/diagnosis , Dystonia*/complications , Laryngeal Diseases*/physiopathology , Laryngeal Diseases*/diagnosis , Laryngeal Diseases*/complications , Linguistics*/methods , Voice Disorders*/diagnosis , Voice Disorders*/physiopathology , Voice Disorders*/etiology , Voice Quality*, Speech Production Measurement/methods ; Humans ; Female ; Male ; Middle Aged ; Adult ; Algorithms ; Phonetics ; Aged ; Case-Control Studies ; ROC Curve ; Speech Acoustics
Περίληψη: Purpose: Creaky 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.
Method: Fifty speakers with AdLD and 50 age- and sex-matched controls read the first paragraph of The Rainbow Passage. A priori locations for linguistically expected creak were identified based on established phonological processes. An automated algorithm detected the percentage of creak (%creak) within voiced segments. A linear mixed-effects model examined the interaction between group (AdLD, control) and creak type (expected vs. unexpected). Receiver operating characteristic curve analyses compared the diagnostic accuracy of unexpected %creak and total %creak.
Results: Both 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, p < .001), with an optimal cutoff of 4.0% at a sensitivity of .78 and a specificity of .84.
Conclusions: Pathological 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.
Entry Date(s): Date Created: 20260825 Date Completed: 20261013 Latest Revision: 20261013
Update Code: 20261014
DOI: 10.1044/2026_JSLHR-25-00997
PMID: 42640843
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1558-9102
DOI:10.1044/2026_JSLHR-25-00997