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Record W2106675699

Production and Perception of Laryngeal Constriction in the Early Vocalizations of Bai and English Infants

2010· article· en· W2106675699 on OpenAlexaff
Allison Benner

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2010
Typearticle
Languageen
FieldHealth Professions
TopicInfant Health and Development
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAudiologyConstrictionPerceptionPsychologyAnimal scienceMedicineCardiologyBiologyNeuroscience
DOInot available

Abstract

fetched live from OpenAlex

This study examines the production and perception of laryngeal constriction in the early vocalizations of Bai and English infants. The first part of the study documents the development of laryngeal voice quality features in the non-syllabic and syllabic utterances of Bai and English infants. The second part of the study focuses on the perception of laryngeal constriction in infant vocalizations by adult Bai and English listeners. The study is grounded in Esling’s (2005) model of the vocal tract, which characterizes the laryngeal vocal tract as a separate articulator, distinct from the oral vocal tract. The study of Bai and English infants’ production identifies universal and language-specific patterns in infants’ development of laryngeal constriction. In the first months of life, most sounds produced by Bai and English infants are constricted. As the year progresses, all infants explore degrees of constriction in dynamic utterances that feature alternations between constricted and unconstricted laryngeal voice quality settings. As well, throughout the year, infants produce an increasing proportion of unconstricted vocalizations. By the end of the first year, when infants have developed increasing control of the laryngeal and oral vocal tracts, they produce syllabic utterances that begin to reflect the use of laryngeal voice quality features in their ambient language. English syllabic utterances are mostly unconstricted, mirroring the prevalence of unconstricted settings in the target language. By contrast, Bai syllabic utterances are mostly constricted or dynamic, reflecting the use of laryngeal voice quality in Bai, a register tone language that employs laryngeal voice quality features distinctively at the syllabic level. The second part of the study highlights universal and language-particular patterns in Bai and English adults’ perception of laryngeal voice quality in infants’ utterances. In evaluating the importance of a range of infant sounds in learning the target language (Bai or English), adults from both language groups assign lower ratings to infant utterances that occur earlier in development, such as constricted non-syllabic utterances, and higher ratings to sounds that occur later, such as syllabic utterances with rapidly articulated syllables. Bai and English adults’ perceptions also reflect some language-specific patterns that correspond to language-particular characteristics identified in infants’ use of laryngeal voice quality in syllabic and non-syllabic utterances. These correspondences suggest that adults are attuned to laryngeal voice quality in infants, and that, in turn, infants become attuned to the use of laryngeal voice quality features in their ambient language early in development. The production study demonstrates the fruitfulness of Esling’s (2005) model of the vocal tract in revealing previously undocumented patterns in the development of laryngeal constriction in the first year of life and in highlighting the importance of emergent laryngeal control as a stimulator of phonetic development. The perception study shows that adults whose native languages differ markedly in their use of laryngeal constriction can systematically evaluate laryngeal voice quality features in the full range of non-distress vocalizations produced by infants in the first year of life.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0020.000

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 head0.030
GPT teacher head0.330
Teacher spread0.300 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations20
Published2010
Admission routes1
Has abstractyes

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