Evidence map›Paper›PMID 39433484›Full record

ArticlePhonetica2024

Vertical larynx actions and intergestural timing stability in Hausa ejectives and implosives.

Miran Oh, Dani Byrd, Louis Goldstein, Shrikanth S Narayanan

Abstract read
In one paragraph

Article in Phonetica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Miran OhDepartment of Linguistics, 118557 University of Southern California , Los Angeles, CA, USA.ORCID 0000-0002-7371-9820
Dani ByrdDepartment of Linguistics, 118557 University of Southern California , Los Angeles, CA, USA.
Louis GoldsteinDepartment of Linguistics, 118557 University of Southern California , Los Angeles, CA, USA.
Shrikanth S NarayananDepartment of Linguistics, 118557 University of Southern California , Los Angeles, CA, USA.

Funding

DYNAMICS OF VOCAL TRACT SHAPINGR01DC007124 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NARAYANAN, SHRIKANTH · 2005 to 2020
$6.1M
Speech Prosody and Articulatory Dynamics in Spoken LanguageR01DC003172 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BYRD, DANI · 2002 to 2016
$5.9M
ARTICULATORY TIMING--ORGANIZING SYLLABLES AND PHRASESR29DC003172 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BYRD, DANI · 1997 to 2001
$228k
NIDCD NIH HHS R01 DC003172NIDCD NIH HHS R01 DC007124NIDCD NIH HHS R29 DC003172
6 · The paper itself

Abstract

The current project undertakes a kinematic examination of vertical larynx actions and intergestural timing stability within multi-gesture complex segments such as ejectives and implosives that may possess specific temporal goals critical to their articulatory realization. Using real-time MRI (rtMRI) speech production data from Hausa non-pulmonic and pulmonic consonants, this study illuminates speech timing between oral constriction and vertical larynx actions within segments and the role this intergestural timing plays in realizing phonological contrasts and processes in varying prosodic contexts. Results suggest that vertical larynx actions have greater magnitude in the production of ejectives compared to their pulmonic counterparts, but implosives and pulmonic consonants are differentiated not by vertical larynx magnitude but by the intergestural timing patterns between their oral and vertical larynx gestures. Moreover, intergestural timing stability/variability between oral and non-oral (vertical larynx) actions differ among ejectives, implosives, and pulmonic consonants, with ejectives having the most stable temporal lags, followed by implosives and pulmonic consonants, respectively. Lastly, the findings show how contrastive linguistic 'molecules' - here, segment-sized phonological complexes with multiple gestures - interact with phrasal context in speech in such a way that it variably shapes temporal organization between participating gestures as well as respecting stability in relative timing between such gestures comprising a segment.

Indexed as

LarynxPhoneticsSpeechAdultBiomechanical PhenomenaFemaleGesturesHumansLanguageMagnetic Resonance ImagingMaleSpeech Production MeasurementTime FactorsYoung Adultnon-pulmonic consonant productionreal-time MRIspeech timingtiming stability

Identifiers

PMID39433484
PMCPMC12328890

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.