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Record W1549956186

Perceptual Integration of Visual Evidence of the Airstream from Aspirated Stops.

2013· article· en· W1549956186 on OpenAlexaff
Connor Mayer, Bryan Gick, Tamra Weigel, D. H. Whalen

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldPsychology
TopicMultisensory perception and integration
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPerceptionModality (human–computer interaction)Cognitive psychologyCandleSpeech perceptionVisual perceptionPsychologyComputer scienceSpeech recognitionAudiologyArtificial intelligenceEngineeringMedicineNeuroscience
DOInot available

Abstract

fetched live from OpenAlex

This study investigates whether indirect visual evidence of aspiration can influence speech perception as previously found for tactile information. Participants were shown video of a speaker producing the sequence "pom" and "bomb" in a noisy setting. In some tokens, a candle was visibly perturbed by aspiration. All participants were more likely to correctly identify "pom" and incorrectly identify "bomb" in the presence of visible perturbation, indicating that perceptual integration was taking place. This effect was stronger for participants who reported being consciously aware of the candle as a predictor. This indicates that ambient information can be incorporated in speech perception even when presented via an indirect modality, and that active attention can amplify this effect.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.993

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)0.0080.000

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 head0.097
GPT teacher head0.330
Teacher spread0.233 · 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.

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

Citations9
Published2013
Admission routes1
Has abstractyes

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