Evidence map›Paper›PMID 36634242›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2023

Factors Affecting Nonnative Consonant Cluster Learning.

Adam Buchwald, Hung-Shao Cheng

Abstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

2 authors.

Adam BuchwaldNew York University, New York.ORCID 0000-0002-5315-448X
Hung-Shao ChengNew York University, New York.ORCID 0000-0001-7020-0903

Funding

Optimizing speech motor learning with neuromodulation: Behavioral outcomes and neural mechanismsR01DC018589 · NIDCD · NEW YORK UNIVERSITY · PI BUCHWALD, ADAM · 2020 to 2024
$2.5M
Using tDCS to Promote Speech Motor LearningK01DC014298 · NIDCD · NEW YORK UNIVERSITY · PI BUCHWALD, ADAM · 2015 to 2019
$864k
NIDCD NIH HHS K01 DC014298NIDCD NIH HHS R01 DC018589
6 · The paper itself

Abstract

purposeNonnative consonant cluster learning has become a useful experimental approach for learning about speech motor learning, and we sought to enhance our understanding of this area and to establish best practices for this type of research.

methodOne hundred twenty individuals completed a nonnative consonant cluster learning task within a speech motor learning paradigm. Following a brief prepractice, participants then practiced the production of eight word-initial nonnative consonant clusters embedded in bisyllabic nonwords (e.g., GD in /gdivu/). The clusters ranged in difficulty according to linguistic typology and sonority sequencing. Acquisition was operationalized as the change across the practice section and learning was assessed with two retention sessions (R1: 30 min after practice; R2: 2 days after practice). We evaluated changes in accuracy as well as in the acoustic details of the cluster production at each time point.

resultsOverall, participants improved in their production of the consonant clusters. Accuracy increased, and duration measures decreased in specific measures associated with cluster production. The change in coordination measured in the acoustics changed both for clusters that were incorrectly produced and for those that were correctly produced, indicating continued motor learning even in accurate tokens.

conclusionsThese results aid our understanding of the complexity of nonnative consonant cluster learning. In particular, both factors related to both phonological and speech motor control properties affect the learning of novel speech sequences. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.21844185.

Indexed as

PhoneticsSpeechAcousticsHumansLearning

Identifiers

PMID36634242
PMCPMC10555463

What OpenQuestion holds

Textmetadata
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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.