On-beat rhythm and working memory are associated with better speech-in-noise perception for older adults with hearing loss
Bibliographic record
Abstract
Even with the use of hearing aids (HAs), speech in noise perception remains challenging for older adults, impacting communication and quality of life outcomes. The association between music perception and speech-in-noise (SIN) outcomes is of interest, as there is evidence that professionally trained musicians are adept listeners in noisy environments. Thus, this study explored the association between music processing, cognitive factors, and the outcome variable of SIN perception, in older adults with hearing loss. Forty-two HA users aged between 57 and 90 years with a symmetrical, moderate-to-moderately severe hearing loss participated in this study. Our findings suggest that on-beat rhythm accuracy, pitch perception, and working memory all positively contribute to SIN perception for older adults with hearing loss. These findings provide key insights into the relationship between music, cognitive factors, and SIN perception, which may inform future interventions, rehabilitation, and the mechanisms that support better SIN perception.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".