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Record W4401371108 · doi:10.25144/23427

SPECTRAL AND TEMPORAL-DOMAIN QUESTIONS FOR AN AUDITORY MODEL OF VOWEL PERCEPTION

2024· article· en· W4401371108 on OpenAlexaff
RAW BLADON, Bertil Lindblom

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSpeech and Audio Processing
Canadian institutionsUniversity College of the North
Fundersnot available
KeywordsVowelSpeech recognitionPerceptionComputer scienceAuditory scene analysisPsychologyNeuroscience

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score0.188

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.286
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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