Evaluating the basilar membrane displacement for speech stimulus: a computational algorithm
Bibliographic record
Abstract
This paper presents a new approach to an auditory model which matches closely the response patterns in physiological data for single tone inputs. The model evaluates the basilar membrane (BM) displacement which has a crucial role in signal decomposition in the auditory system. We employ the partial differential equations of the BM and its parameters measured for human auditory system, and evaluate the BM displacement for some speech stimulus. In order to solve these equations, we use short time Fourier transform (STFT), and compute BM displacement for some speech stimulus. The idea is to isolate the input signal in the vicinity of a time-window and try to follow the changes in input frequencies and their perception in the auditory system. The algorithm provides a new auditory spectrum of input speech which reflects a view of propagating signal on the BM for speech signals. This model is a signal decomposition tool that could be used for various speech and sound processing applications with significant potential in improving the perceptual quality of audio signals
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".