Effects of emotional content and emotional voice on speech intelligibility in younger and older adults
Bibliographic record
Abstract
The effects of emotional content and emotional voice on speech intelligibility in younger and older adults was investigated. Twenty-eight younger adults with good health and clinically normal hearing thresholds in the speech range were tested. The stimuli used were the 200 sentences from the NU6 lists. The stimuli were presented to one group visually as text on paper, and to two groups auditorally, through two loudspeakers in a sound-attenuating booth. Means were obtained for both valence and arousal ratings for all three groups. The SNR threshold data were collected on young adults with normal hearing by Richard Wilson and colleagues using the female voice. Analyses revealed a significant positive correlation between valence and arousal for participants in the visual condition. The results indicated that the emotional arousal of listeners to a particular word can affect intelligibility, depending on the modality of presentation.
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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 | 0.001 |
| 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".