A Study on Improving Speech Perception in Noise and Cognitive-Communication Abilities in Elderly Individuals Wearing Hearing Aids through Web-Based Auditory Training
Bibliographic record
Abstract
Purpose: This study aimed to explore the impact of web-based auditory training on speech perception in noise and cognitive-communication abilities in elderly individuals wearing hearing aids. The focus was on addressing communication difficulties commonly experienced by this demographic.Methods: Twenty participants, with over 6 months of hearing aid use, were divided into a training group (undergoing 8 weeks of weekly 60-minute web-based auditory training) and a non-training group. The training program included tasks like listening to sentences in noise, short and long stories, sentence arrangement, and crossword quizzes. Various assessments, such as Korean Repeat and Recall Test and Brief test Cognitive-Communication Disorders evaluations, were conducted before and after training. The Korean version of Montreal Cognitive Assessment test served as a prescreening measure for cognitive impairments.Results: Significant improvements were observed in the training group’s speech perception in noise, recall, and cognitive-communicative abilities post-training. Conversely, the non-training group showed no statistically significant differences.Conclusion: The findings suggest that web-based auditory training holds promise for enhancing cognition and communication in elderly hearing aid users. Future studies could further explore the comparative effectiveness of auditory training by categorizing participants into face-to-face, remote, and hybrid groups. This research contributes valuable insights into addressing communication challenges in the aging population through innovative training methods.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".