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Record W2057649128 · doi:10.1080/0269920031000071451

Speech habilitation of hard of hearing adolescents using electropalatography and ultrasound as evaluated by trained listeners

2003· article· en· W2057649128 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

VenueClinical Linguistics & Phonetics · 2003
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsMinistry of HealthUniversity of British Columbia
FundersAustralian Government
KeywordsHabilitationAudiologyPsychologyVowelTonguePhoneticsContrast (vision)Auditory feedbackPhonationSpeech productionSpeech recognitionMedicineLinguisticsComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Four adolescents with moderate to severe sensorineural hearing losses and moderately unintelligible speech participated in a 14-week speech therapy study using two dynamic visual feedback technologies, electropalatography and ultrasound imaging. Electropalatography provides information about tongue-hard palate contact points. Ultrasound displays images of tongue shape and movement in two dimensions from the tip to the root. Treatment targets for all participants included a sibilant place contrast (/s/ versus /[symbol: see text]/), liquids /l/ and /[symbol: see text]/, and the tense-lax vowel contrast with the high vowels. Trained listener evaluations of pre- and post-treatment transcripts are reported in this paper. Significant improvements in speech production were noted across students and targets. Treatment targets improved significantly more than non-treatment test targets overall. Students showed greatest gains on consonants that were absent or marginal in their speech pre-treatment. No particular advantage of one technology over the other was evident in this sample.

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)0.002
metaresearch head score (Gemma)0.079
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.928

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.079
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 head0.074
GPT teacher head0.378
Teacher spread0.304 · 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