A Case of Impaired Auditory and Visual Speech Prosody Perception after Right Hemisphere Damage
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It is well established that vision plays a role in segmental speech perception, but the role of vision in prosodic speech perception is less clear. We report on the difficulties in prosodic speech perception encountered by KB after a right hemisphere stroke. In addition to musical deficits, KB was suspected of having impaired auditory prosody perception. As expected, KB was impaired on two prosody perception tasks in an auditory-only condition. We also examined whether the addition of visual prosody cues would facilitate his performance on these tasks. Unexpectedly, KB was also impaired on both tasks under visual-only and audio-visual conditions. Thus, there was no evidence that KB could integrate auditory and visual prosody information or that he could use visual cues to compensate for his deficit in the auditory domain. In contrast, KB was able to identify segmental speech information using visual cues and to use these visual cues to improve his performance when auditory segmental cues were impoverished. KB was also able to integrate audio-visual segmental information in the McGurk effect. Thus, KB's visual deficit was specific to prosodic speech perception and, to our knowledge, this is the first reported case of such a deficit.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.041 | 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 it