SPECTRAL AND TEMPORAL-DOMAIN QUESTIONS FOR AN AUDITORY MODEL OF VOWEL PERCEPTION
Bibliographic record
Abstract
Drawing on the work of Zwicker (e.g.Zwicker and Feldtkeller 1967), recently formalized by Schroeder, Atal and Hall (1979), we have elaborated a specific version of a theory of peripheral auditory representation of 5teady=state vowels (Bladon and Lindblom 1979).This model, together with a distance metric which follows Plomp (1970).has been tested by hypothesizing that listeners in vowel-matching tasks of a natural or experimental nature make their judgements of vowel distance in accordance with the model.Very largely. it seems they do.and this is an encouraging result.Possibly more interesting.though.are the two residual cases from our experiments where the model does not predict the auditory distance correctly.It is in search of an explanation for these irregularities in the data that we pose some questions here which would permit some fine-tuning of the model.either in respect of its amplitude-spectrum characteristics.or in respect of the effect of temporal processing on perceived vowel quality.These questions are raised without as yet fully knowing the answers.but with the hope that a preliminary airing of them may narrow down the choice of priorities for the next stage of our 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 | 0.008 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.006 | 0.021 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.010 | 0.006 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".