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Record W2009250109 · doi:10.1080/14015430410026144

High-speed imaging of the voicing source in laryngectomees during production of voiced-voiceless distinctions for stop consonants

2004· article· en· W2009250109 on OpenAlexfundno aff
Elisabet Lundström, Britta Hammarberg

Bibliographic record

VenueLogopedics Phoniatrics Vocology · 2004
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsVoiceVoice-onset timeSpectrogramSpeech productionAudiologyStop consonantPerceptionDuration (music)Intelligibility (philosophy)AcousticsSpeech recognitionPsychologyComputer scienceMedicineConsonantPhysicsNeuroscience

Abstract

fetched live from OpenAlex

This study presents results from high-speed imaging recordings of the voice source, that is the pharyngo-esophageal segment, in four laryngectomized men. The subjects were asked to produce VCV-syllables with voiced and voiceless stop consonants during simultaneous high-speed imaging recordings and audio recordings. A general and detailed visuo-perceptual analysis of the shape and vibratory pattern in the pharyngo-esophageal (PE-) segment was made, as well as acoustical measurements of voice onset time (VOT) and closure duration for each syllable. The syllables were also audio-perceptually evaluated by five expert listeners. Results show that the subjects had a high overall intelligibility as judged by the listeners. All four subjects were able to make opening gestures in the PE-segment while producing voiceless stop consonants. In cases where misperceptions were predominant, the acoustical analysis with spectrograms and the detailed analysis of the vibration in the PE-segment gave information about probable causes of the mishearings.

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)0.001
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 score0.216
Threshold uncertainty score0.725

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.312
Teacher spread0.293 · 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 designObservational
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

Citations12
Published2004
Admission routes1
Has abstractyes

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