Binaural Integration by Cochlear-Implant Users During Voice Matching Tasks
Bibliographic record
Abstract
The capacity for bilateral cochlear-implant users, bimodal cochlear-implant users, and normal-hearing control subjects to match auditory information presented independently to both ears was examined. Spondee words were re-synthesized to produce three sets of voice stimuli where pitch and spectrum were manipulated independently or together. Children (ages 5-18) were asked to turn a knob to make the voice presented to one ear match a model voice presented simultaneously to the opposite ear. The children were also asked to match voices presented sequentially, either to the same ear or to opposite ears. Statistical comparison of the bilateral cochlear-implant and normal-hearing groups showed that cochlear-implant users had lower sensitivity to the acoustic properties of speech tested, but that their ability to match and integrate them binaurally followed a normal-like pattern. Hearing in noise was tested for conditions where the voice presented to each ear was the same (diotic) or different (dichotic).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".