The Effort Required to Comprehend a Short Documentary in Noise: A Comparison of Younger and Older Francophones
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Bibliographic record
Abstract
Speech processing is more effortful under difficult listening conditions. Using a dual-task paradigm, it has been shown that older adults deploy more listening effort than younger adults when performing a speech recognition task in noise. Purpose The primary purpose of this study was to investigate whether a dual-task paradigm could be used to investigate differences in listening effort for an audiovisual speech comprehension task. If so, it was predicted that older adults would expend more listening effort than younger adults. Method Three groups of participants took part in the investigation: (a) young normal-hearing adults, (b) young normal-hearing adults listening to the speech material low-pass filtered above 3 kHz, and (c) older adults with age-related normal hearing sensitivity or better. A dual-task paradigm was used to measure listening effort. The primary task consisted of comprehending a short documentary presented at 63 dBA in a background noise that consisted of a 4-talker speech babble presented at 69 dBA. The participants had to answer a set of 15 questions related to the content of the documentary. The secondary task was a tactile detection task presented at a random time interval, over a 12-min period (approximately 8 stimuli/min). Each task was performed separately and concurrently. Results The younger participants who performed the listening task under the low-pass filtered condition displayed significantly more listening effort than the 2 other groups of participants. Conclusion First, the study confirmed that the dual-task paradigm used in this study was sufficiently sensitive to reveal significant differences in listening effort for a speech comprehension task across 3 groups of participants. Contrary to our prediction, it was the group of young normal-hearing participants who listened to the documentaries under the low-pass filtered condition that displayed significantly more listening effort than the other 2 groups of listeners.
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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 it