Auditory Training and Adult Rehabilitation: A Critical Review of the Evidence
Bibliographic record
Abstract
Auditory Training (AT) describes a regimen of varied listening exercises designed to improve an individual’sability to perceive speech. The theory of AT is based on brain plasticity (the capacity of neurones in the centralauditory system to alter their structure and function) in response to auditory stimulation. The practice ofrepeatedly listening to the speech sounds included in AT exercises is believed to drive the development of moreefficient neuronal pathways, thereby improving auditory processing and speech discrimination. This criticalreview aims to assess whether auditory training can improve speech discrimination in adults with mild-moderateSNHL. The majority of patients attending Audiology services are adults with presbyacusis and it is thereforeimportant to evaluate evidence of any treatment effect of AT in aural rehabilitation. Ideally this review wouldseek to appraise evidence of neurophysiological effects of AT so as to verify whether it does induce change inthe CAS. However, due to the absence of such studies on this particular patient group, the outcome measure ofspeech discrimination, as a behavioural indicator of treatment effect is used instead. A review of availableresearch was used to inform an argument for or against using AT in rehabilitative clinical practice. Six studieswere identified and although the preliminary evidence indicates an improvement gained from a range of ATparadigms, the treatment effect size was modest and there remains a lack of large-sample RCTs. Futureinvestigation into the efficacy of AT needs to employ neurophysiological studies using auditory evokedpotentials in hearing-impaired adults in order to explore effects of AT on the CAS.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".