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Record W3196145629 · doi:10.3390/languages6030139

Fundamental Frequency and Phonation Differences in the Production of Stop Laryngeal Contrasts of Endangered Shina

2021· article· en· W3196145629 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLanguages · 2021
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhonationFundamental frequencyAcousticsPlace of articulationTilt (camera)CepstrumArticulation (sociology)Speech recognitionAudiologyMathematicsPhysicsComputer scienceVowelConsonantMedicine

Abstract

fetched live from OpenAlex

Shina is an endangered Indo-Aryan (Dardic) language spoken in Gilgit, Northern Pakistan. The present study investigates the acoustic correlates of Shina’s three-way stop laryngeal contrast across five places of articulation. A wide range of acoustic correlates were measured including fundamental frequency (F0), spectral tilt (H1*-H2*, H1*-A1*, H1*-A2*, and H1*-A3*), and cepstral peak prominence (CPP). Voiceless aspirated stops were characterized by higher fundamental frequency, spectral tilt, and cepstral peak prominence, compared to voiceless unaspirated and voiced unaspirated stops. These results suggest that Shina is among those languages which have a raising effect of aspiration on the pitch and spectral tilt onsets of the following vowels. Positive correlations among fundamental frequency, spectral tilt, and cepstral peak prominence were observed. The findings of this study will contribute to the phonetic documentation of endangered Dardic languages.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.348

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 communication0.0000.000
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 head0.033
GPT teacher head0.337
Teacher spread0.304 · 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