August 2020 PMID 32814792

Speech-in-noise detection is related to auditory working memory precision for frequency.

Meher Lad, Emma Holmes, Agatha Chu, Timothy D Griffiths

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Mentions

Peak: 3 in Jan 2020

across 2 sources since Jan 2020

Extended reach

214,323

potential audience

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Mentions per month

Jan 2020 – Jan 2026

Where it's discussed

X / Twitter7 posts
YouTube2 videos

AI synopsis

What people are saying

The discussions reveal a general approval and recognition of the study's significance, exemplified by phrases like 'discussing how speech-in-noise detection is related to auditory working memory' and references to the potential importance of frequency memory. The tone remains positive yet somewhat surface-level, focusing on disseminating key findings rather than deep analysis, which explains the moderate scores across all dimensions.

AgreementModerate agreement

Most discussions acknowledge the validity of the research, with many affirming its relevance to understanding speech perception and auditory memory.

InterestModerate interest

Participants show moderate interest, often highlighting the importance of the connection between auditory working memory and speech-in-noise perception but without deep dives into methodological details.

EngagementModerate engagement

Comments tend to be somewhat superficial, focusing on sharing and praising the findings rather than extensive critique or exploration of implications.

ImpactModerate impact

The discussions imply that the research could influence future studies and practical applications, but do not convey that it has yet caused immediate changes or breakthroughs.

Abstract in brief

Speech-in-noise (SiN) perception, which is essential for understanding speech in noisy environments, is linked to auditory working memory specific to the frequency of sounds rather than just phonological skills.
The study used a new testing method to measure how precisely people can remember and distinguish non-speech sounds based on frequency and amplitude modulation, finding that better frequency memory correlates with improved SiN perception and musical training.
Results suggest that working memory for frequency helps in separating speech from background noise during natural listening and may be trainable, potentially influenced by musical experience.]

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All mentions

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bioRxiv Published

@biorxiv_pubd · X

Speech-in-noise detection is related to auditory working memory precision for frequency published as: https://t.co/2Kc0QxPMqu @scireports #biorxiv

Jul 17, 2023 · 2,899 followers View post →

UCL Discovery

@ucl_discovery · X

Open Access UCL Research: Speech-in-noise detection is related to auditory working memory precision for frequency https://t.co/hrXVE15AE2

Aug 26, 2021 · 2,501 followers View post →

UCL Discovery

@ucl_discovery · X

Open Access UCL Research: Speech-in-noise detection is related to auditory working memory precision for frequency https://t.co/vs60AcEyHu

Aug 25, 2020 · 2,501 followers View post →

Department of Imaging Neuroscience

@ImagingNeuroUCL · X

*New Paper* from @Emma_Holmes_90 and Timothy Griffiths discussing how speech-in-noise detection is related to auditory working memory precision for frequency. Read more here

Aug 20, 2020 · 6,879 followers View post →

Leonardo Ceravolo

@LeonardoCeravo2 · X

RT @biorxiv_neursci: Speech-in-noise detection is related to auditory working memory precision for frequency https://t.co/z4ClSK8TZw #bior…

Jan 23, 2020 · 1 share · 17 followers View post →

bioRxiv Neuroscience

@biorxiv_neursci · X

Speech-in-noise detection is related to auditory working memory precision for frequency https://t.co/z4ClSK8TZw #biorxiv_neursci

Jan 23, 2020 · 1 like · 1 share · 60,875 followers View post →

bioRxiv

@biorxivpreprint · X

Speech-in-noise detection is related to auditory working memory precision for frequency https://t.co/iETz1YFZ0Z #bioRxiv

Jan 23, 2020 · 138,584 followers View post →