Sensorial substitution system with encoding of visual objects into sounds
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
Abstract : Visual and auditory prostheses involve surgeries that are complex, expensive, and invasive. They are limited to a small number of electrodes and can only be used when the impairment is peripheral. The Vibe and PSVA encode the entire image in one complex sound. The PSVA uses frequencies that are associated with each pixel and increase from left to right and from bottom to top of the image. The Vibe splits the image into several regions that are equivalent to receptive fields. The challenge in this project resides in the design of a suitable encoding of the visual scene into auditory stimuli such that the content of the sound carries the most important characteristics of the visual scene. These sounds should be shaped in a way that the subject can build mental representations of visual scenes even if the information carrier is the auditory pathway. The complex sound is the sum of all single sounds from each segment. One complex sound is generated for the right ear and another one for the left.
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) | 0.000 | 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