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Record W1965095836 · doi:10.1121/1.4778960

Effect of age and context on vowel area

2002· article· en· W1965095836 on OpenAlexaffabout
Megan Hodge

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2002
Typearticle
Languageen
FieldMedicine
TopicVoice and Speech Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsVowelFormantIntelligibility (philosophy)AudiologyMid vowelMathematicsContext (archaeology)PsychologySpeech recognitionGeographyMedicineComputer science

Abstract

fetched live from OpenAlex

Vowel quadrilateral area, based on first and second formant measures of the corner vowels, has been shown to be correlated positively with intelligibility scores in studies of adults with and without dysarthria [Weismer et al., 2001] and children with and without dysarthria [Higgins and Hodge, 2002]. This study compared vowel areas of three groups of typical talkers (3 year-olds, 5-year-olds, and women) using a log Hz scale in two different speaking conditions. The first speaking condition was production of multiple tokens of isolated /hV/ syllables for each corner vowel, and the second was production of single word items containing the four corner vowels taken from a childrens’ test of intelligibility [Hodge, 1996]. An interaction of age with phonetic context was found. Vowel areas for the 3-year-olds did not differ between the two conditions and were the largest of the three groups. The 5-year-olds’ and women’s vowel areas were of similar size and both were smaller in the word condition. The women showed the greatest effect of phonetic context with a significantly smaller mean vowel area in the word than isolated vowel condition. [Work supported by Glenrose Rehabilitation Hospital and Canadian Languaage and Literacy Research Network.]

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.237

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 studies0.0000.001
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 head0.014
GPT teacher head0.261
Teacher spread0.247 · 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 designOther design
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
Published2002
Admission routes2
Has abstractyes

Explore more

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