Sensorial substitution system from vision to audition using transparent digital earplugs
Bibliographic record
Abstract
Since the TVSS (Tactile Vision Substitution System) developed by Bach-Y-Rita in 1960's, several sensorial substitution systems have been developed. In general, the so-called "sensorial substitution" system transform stimuli characteristic of one sensory modality (for example, vision) into stimuli of another sensory modality (for example, audition). These systems are developed to help handicapped persons. We developed a sensorial substitution system from vision to audition. An artificial neural network is used to identify the important parts in the image. The Virtual Acoustic Space technic is used to generate localizable sounds. A sound is associated to each important parts of the image. The entire real-time system has been implemented on iOS platforms (iPhone/iPad/iPod Touch{trade mark, serif}). We associated our system with transparent digital earplugs. This way the user is aware of the audio scene happening around him. The system has been tested on non-blind persons and the results are presented.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".