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Record W4400285339 · doi:10.1121/10.0027484

Tongue bracing robustness under perturbation: Comparison of L1 versus L2 speech with and without bite-block

2024· article· en· W4400285339 on OpenAlexaff
Marcell Maitinsky, Annabelle Purnomo, Chenxi Xu, Yadong Liu, Bryan Gick

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2024
Typearticle
Languageen
FieldHealth Professions
TopicInfant Health and Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBracingRobustness (evolution)Speech recognitionComputer scienceTongueMathematicsAudiologyMedicineBiologyGeometry

Abstract

fetched live from OpenAlex

Lateral tongue bracing is a universal speech posture observed across many languages [Gick et al., 2017, JSLHR 60; Liu et al., 2022, JIPA, Phonetica 79]. Previous work has found that under perturbation by 10 mm bite-blocks, there is less lateral contact during a speaker’s L2 speech compared to their L1 speech [Bengtson et al., 2023, J. Acoust. Soc. Am. 154]. However, the research did not investigate lateral contact without bite-blocks and the effect of this perturbation on posture remains unclear. The present study addresses this by comparing a speaker’s L1 and L2 speech both with and without bite-block perturbation, with the hypothesis that posture during speech movement is more robustly maintained under perturbation with more language experience. Participants will read two short texts in their L1 and L2 separately, both with and without 10 mm bite-blocks, and F1/F2 of cardinal vowels will be compared between bite-block conditions for each language. L2 proficiency will be collected for each participant and results will be reported with relevance to posture and speech movement coordination for L1 versus L2, with implications discussed for proficiency. [Work supported by NSERC].

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.

How this classification was reachedexpand

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.049
GPT teacher head0.392
Teacher spread0.343 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of the Acoustical Society of AmericaSame topicInfant Health and DevelopmentFrench-language works237,207