Effect of speech rate and complexity on sentence comprehension in Alzheimer’s disease
Bibliographic record
Abstract
Previous research has not shown a benefit of slowed speech on the comprehension of sentences by persons with Alzheimer’s disease (AD). The objective of this study was to replicate and extend the findings from previous research by employing a novel speech rate manipulation that inserted strategic pauses at phrase and clause boundaries in sentences. Fourteen participants with AD were instructed to match auditorily presented sentences to one of several pictures that corresponded to the correct meaning of each sentence. The sentences varied in their speech rate and grammatical complexity. The results show that participants’ comprehension did not significantly benefit from the altered speech rate, though participants did demonstrate better comprehension of simpler than more complex sentences. The findings extend previous research by showing that even when employing a more natural method of slowing the speech signal it did not benefit AD participants’ comprehension. The results also contribute to evidence-based clinical recommendations concerning speech modifications to facilitate verbal comprehension in Alzheimer’s disease.
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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".