Detection of Audiovisual Speech Correspondences Without Visual Awareness
Bibliographic record
Abstract
Mounting physiological and behavioral evidence has shown that the detectability of a visual stimulus can be enhanced by a simultaneously presented sound. The mechanisms underlying these cross-sensory effects, however, remain largely unknown. Using continuous flash suppression (CFS), we rendered a complex, dynamic visual stimulus (i.e., a talking face) consciously invisible to participants. We presented the visual stimulus together with a suprathreshold auditory stimulus (i.e., a voice speaking a sentence) that either matched or mismatched the lip movements of the talking face. We compared how long it took for the talking face to overcome interocular suppression and become visible to participants in the matched and mismatched conditions. Our results showed that the detection of the face was facilitated by the presentation of a matching auditory sentence, in comparison with the presentation of a mismatching sentence. This finding indicates that the registration of audiovisual correspondences occurs at an early stage of processing, even when the visual information is blocked from conscious awareness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".