Home > Research > Publications & Outputs > Sleep-driven computations in speech processing

Associated organisational unit

Links

Text available via DOI:

View graph of relations

Sleep-driven computations in speech processing

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Sleep-driven computations in speech processing. / Frost, Rebecca Louise Ann; Monaghan, Padraic John.
In: PLoS ONE, Vol. 12, No. 1, e0169538, 05.01.2017.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Frost RLA, Monaghan PJ. Sleep-driven computations in speech processing. PLoS ONE. 2017 Jan 5;12(1):e0169538. doi: 10.1371/journal.pone.0169538

Author

Bibtex

@article{34f36885033a467e89497308b270c438,
title = "Sleep-driven computations in speech processing",
abstract = "Acquiring language requires segmenting speech into individual words, and abstracting over those words to discover grammatical structure. However, these tasks can be conflicting—on the one hand requiring memorisation of precise sequences that occur in speech, and on the other requiring a flexible reconstruction of these sequences to determine the grammar. Here, we examine whether speech segmentation and generalisation of grammar can occur simultaneously—with the conflicting requirements for these tasks being over-come by sleep-related consolidation. After exposure to an artificial language comprising words containing non-adjacent dependencies, participants underwent periods of consolidation involving either sleep or wake. Participants who slept before testing demonstrated a sustained boost to word learning and a short-term improvement to grammatical generalisation of the non-adjacencies, with improvements after sleep outweighing gains seen after an equal period of wake. Thus, we propose that sleep may facilitate processing for these conflicting tasks in language acquisition, but with enhanced benefits for speech segmentation.",
author = "Frost, {Rebecca Louise Ann} and Monaghan, {Padraic John}",
year = "2017",
month = jan,
day = "5",
doi = "10.1371/journal.pone.0169538",
language = "English",
volume = "12",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "1",

}

RIS

TY - JOUR

T1 - Sleep-driven computations in speech processing

AU - Frost, Rebecca Louise Ann

AU - Monaghan, Padraic John

PY - 2017/1/5

Y1 - 2017/1/5

N2 - Acquiring language requires segmenting speech into individual words, and abstracting over those words to discover grammatical structure. However, these tasks can be conflicting—on the one hand requiring memorisation of precise sequences that occur in speech, and on the other requiring a flexible reconstruction of these sequences to determine the grammar. Here, we examine whether speech segmentation and generalisation of grammar can occur simultaneously—with the conflicting requirements for these tasks being over-come by sleep-related consolidation. After exposure to an artificial language comprising words containing non-adjacent dependencies, participants underwent periods of consolidation involving either sleep or wake. Participants who slept before testing demonstrated a sustained boost to word learning and a short-term improvement to grammatical generalisation of the non-adjacencies, with improvements after sleep outweighing gains seen after an equal period of wake. Thus, we propose that sleep may facilitate processing for these conflicting tasks in language acquisition, but with enhanced benefits for speech segmentation.

AB - Acquiring language requires segmenting speech into individual words, and abstracting over those words to discover grammatical structure. However, these tasks can be conflicting—on the one hand requiring memorisation of precise sequences that occur in speech, and on the other requiring a flexible reconstruction of these sequences to determine the grammar. Here, we examine whether speech segmentation and generalisation of grammar can occur simultaneously—with the conflicting requirements for these tasks being over-come by sleep-related consolidation. After exposure to an artificial language comprising words containing non-adjacent dependencies, participants underwent periods of consolidation involving either sleep or wake. Participants who slept before testing demonstrated a sustained boost to word learning and a short-term improvement to grammatical generalisation of the non-adjacencies, with improvements after sleep outweighing gains seen after an equal period of wake. Thus, we propose that sleep may facilitate processing for these conflicting tasks in language acquisition, but with enhanced benefits for speech segmentation.

U2 - 10.1371/journal.pone.0169538

DO - 10.1371/journal.pone.0169538

M3 - Journal article

VL - 12

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 1

M1 - e0169538

ER -