Effects of phonetic training and cognitive aptitude on the perception and production of non-native speech contrasts
Bibliographic record
Abstract
Abstract Research on second language (L2) speech learning suggests that incidental perception training can lead to the establishment of non-native phonological categories. The present study contributes to this line of enquiry by investigating how this training is mediated by individual differences in working memory capacity and domain-general auditory processing abilities. In our study, 130 native British English speakers without prior knowledge of Portuguese were randomly assigned to trained or untrained conditions. All participants completed a visual digit span task and an auditory processing test battery. We observed improvements from pretest to post-test in production only, but since both groups improved, these gains cannot be attributed to the incidental perception training. The analysis of the ID measures further confirms the important role played by auditory processing abilities in L2 speech learning. However, more research is needed to better understand the role of incidental perception training and the mediating role of cognitive aptitudes.
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How this classification was reachedexpand
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 | 0.000 | 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".