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Record W4236592366 · doi:10.1121/1.2719045.2

10.1121/1.2719045.2

2007· dataset· en· W4236592366 on OpenAlexaff
Peter F. Assmann, Terrance M. Nearey

Bibliographic record

VenueDefault Digital Object Group · 2007
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of Alberta
FundersNational Science Foundation
KeywordsComputer science

Abstract

fetched live from OpenAlex

Covariation in the size of laryngeal and vocal tract structures leads to a moderate correlation between fundamental frequency F0 and formant frequencies (FFs) in natural speech. A method of adjustment procedure was used to test whether listeners prefer combinations of F0 and FFs that reflect this covariation. Vowel sequences spoken by two men and two women were processed by the STRAIGHT vocoder to construct three sets of frequency-shifted continua. The distributions of "best choice" responses in all three experiments confirm that listeners prefer coordinated patterns of F0 and FF similar to those of natural speech.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.302
Threshold uncertainty score0.430

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.006
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0060.004
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.6980.862

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 head0.014
GPT teacher head0.272
Teacher spread0.258 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2007
Admission routes1
Has abstractyes

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