Audiovisual speech perception in noise in younger and older bilinguals.
Bibliographic record
Abstract
= 31) French-English/English-French bilinguals benefit from AV speech cues and sentence context in their first (L1) and second language during speech perception in noise. Participants completed the task in L1 and L2. Importantly, the level of background noise was individually calibrated for each participant to equate performance during the baseline task. The results suggest that there were no age differences in overall performance during the speech perception in noise task. However, older adults showed smaller language effects and smaller modality effects (i.e., comparing auditory-only speech perception to audiovisual speech perception) compared to younger adults. Furthermore, both young and older bilinguals benefited from AV speech cues and sentence context in both of their languages. However, during L2 speech perception in noise, visual speech cues were particularly important for young adults. In contrast, older adults show equal benefit from visual speech cues in L1 and L2. Taken together, these findings extend current models of AV speech perception to a second language in both younger and older adults. Furthermore, the findings suggest that bilinguals are likely to benefit from visual speech cues and supportive sentence context, although this benefit may differ slightly between younger and older bilinguals. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Bench or experimental | high |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".