Designing the Model Human Cochlea: An Ambient Crossmodal Audio-Tactile Display
Bibliographic record
Abstract
We present a model human cochlea (MHC), a sensory substitution technique and system that translates auditory information into vibrotactile stimuli using an ambient, tactile display. The model is used in the current study to translate music into discrete vibration signals displayed along the back of the body using a chair form factor. Voice coils facilitate the direct translation of auditory information onto the multiple discrete vibrotactile channels, which increases the potential to identify sections of the music that would otherwise be masked by the combined signal. One of the central goals of this work has been to improve accessibility to the emotional information expressed in music for users who are deaf or hard of hearing. To this end, we present our prototype of the MHC, two models of sensory substitution to support the translation of existing and new music, and some of the design challenges encountered throughout the development process. Results of a series of experiments conducted to assess the effectiveness of the MHC are discussed, followed by an overview of future directions for this research.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".