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Record W4412531992 · doi:10.1016/j.wocn.2025.101432

The effect of rhythm on inter-gestural coupling of onset and vowel gestures and predictive timing in stuttering

2025· article· en· W4412531992 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Phonetics · 2025
Typearticle
Languageen
FieldPsychology
TopicStuttering Research and Treatment
Canadian institutionsUniversité de MontréalInternational Laboratory for Brain, Music and Sound ResearchCentre for Research on Brain Language and Music
FundersBayerische ForschungsallianzDeutsche ForschungsgemeinschaftDeutscher Akademischer Austauschdienst
KeywordsStutteringRhythmVowelGestureSpeech recognitionPsychologyCoupling (piping)Computer scienceAudiologyCommunicationCognitive psychologyDevelopmental psychologyArtificial intelligenceAcousticsPhysicsMedicineEngineering

Abstract

fetched live from OpenAlex

• Inter-gestural timing differs in persons who stutter (PWS). • Consonant-vowel (CV) gestures are coupled more tightly in PWS. • The synchronization of speech with rhythmic cues varies depending on the rhythm type. • PWS exhibit alterations in predictive timing. • Finger tapping stabilizes the speech motor system of PWS. In this study we investigate articulatory timing in fluent speech production in persons who stutter (PWS) and persons who do not stutter (PWNS) by focusing on consonant–vowel (CV)-timing, which refers to the coupling of onset consonant and vowel gestures, as well as on predictive timing, which describes the synchronization of the speech onset to a rhythmic event. These two timing mechanisms are particularly interesting to investigate in relation to stuttering, given that CV-timing is especially challenging for PWS and that they exhibit differences in predictive timing related to speech-motor and manual-motor tasks, suggesting that disturbances in inter-gestural coordination and auditory-motor integration may contribute to stuttering. To shed further light on this, we examine CV-timing and predictive timing under different rhythmic conditions. Twenty German-speaking adults (10 PWS and 10 PWNS) were recorded using electromagnetic articulography (EMA). Participants produced target words that started with a bilabial onset, followed by a vowel (/a/, /o/, or /u/) and were embedded in a carrier phrase in four different conditions: Unpaced (speaking), Tapping (speaking while concurrently tapping), Metronome (synchronizing speech to a metronome), and Metronome+Tapping (speaking to a metronome while concurrently tapping). We found evidence for both CV-timing and predictive timing differences between PWS and PWNS. Our results suggest that in general, PWS time CV gestures closer together. However, CV-timing differences were linked to condition in an unexpected way. As to predictive timing, PWS initiated their speech later to a metronome beat than PWNS but they did not differ when timing speech to their own finger tapping, indicating that motor-pacing may stabilize the speech motor system of PWS. In the Metronome+Tapping condition, the groups appeared to rely on different rhythmic cues. While PWNS timed their speech more towards the metronome beat, PWS synchronized their speech onset closer to the finger tap. We discuss that this difference could result from differences in CV-timing. Furthermore, the potential for future research on the interplay of non-verbal and verbal motor systems and the possible benefit for the stuttering population is discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.200

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.342
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it