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Record W3015019569 · doi:10.1017/9781108696555.002

Voice and Voice Quality

2019· book-chapter· en· W3015019569 on OpenAlexaff
John H. Esling, Scott R. Moisik, Allison Benner, Lise Crevier‐Buchman

Bibliographic record

VenueCambridge University Press eBooks · 2019
Typebook-chapter
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsVocal tractArticulatorArticulation (sociology)Manner of articulationPhonationStress (linguistics)Mechanism (biology)Quality (philosophy)TongueLarynxCommunicationTerminologyPsychologyVoice DisorderHuman voiceSpeech recognitionAudiologyComputer scienceLinguisticsMedicineAnatomyOrthodontics

Abstract

fetched live from OpenAlex

Terminology for voice quality is revised, particularly for the lower vocal tract. The concepts of ‘voice quality’ as the long-term, habitual postural settings in an accent and ‘voice quality’ as the vibratory, phonatory portion of speech are reconciled through the laryngeal articulator mechanism that explains how multiple configurational adjustments and vibratory elements are achieved in the lower vocal tract. The origins of voice quality theory are reviewed, and articulatory settings of the laryngeal mechanism, velopharyngeal opening, the tongue, the jaw, and the lips are reviewed. The descriptions from Laver (1980) are reinforced, connections to laryngeal articulation are made explicit, and the musculature responsible for each setting is outlined. New drawings of the mechanisms of the vocal tract provide a fresh perspective on articulatory movements and resulting auditory qualities. Pharyngeal/epiglottal articulations are remapped, and their status as laryngeal configurations is made explicit.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0020.006
Scholarly communication0.0060.005
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0310.012

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 head0.061
GPT teacher head0.299
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooks→Same topicPhonetics and Phonology Research→French-language works237,207→