Evidence map›Paper›PMID 36732241›Full record

ArticleThe Journal of the Acoustical Society of America2023

Performance on stochastic figure-ground perception varies with individual differences in speech-in-noise recognition and working memory capacity.

Michael A Johns, Regina C Calloway, Ian Phillips, Valerie P Karuzis, Kelsey Dutta, Ed Smith, Shihab A Shamma, Matthew J Goupell, Stefanie E Kuchinsky

Open access · greenAbstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 2 institutions in 1 country.

Michael A JohnsInstitute for Systems Research, University of Maryland, College Park, Maryland 20742, USA.ORCID 0000-0003-1868-8141
Regina C CallowayInstitute for Systems Research, University of Maryland, College Park, Maryland 20742, USA.ORCID 0000-0002-8889-6977
Ian PhillipsAudiology and Speech Pathology Center, Walter Reed National Military Medical Center, Bethesda, Maryland 20889, USA.
Valerie P KaruzisApplied Research Laboratory of Intelligence and Security, University of Maryland, College Park, Maryland 20742, USA.
Kelsey DuttaInstitute for Systems Research, University of Maryland, College Park, Maryland 20742, USA.
Ed SmithDepartment of Hearing and Speech Sciences, University of Maryland, College Park, Maryland 20742, USA.
Shihab A ShammaDepartment of Electrical and Computer Engineering, University of Maryland, College Park, Maryland 20742, USA.
Matthew J GoupellDepartment of Hearing and Speech Sciences, University of Maryland, College Park, Maryland 20742, USA.ORCID 0000-0003-2662-3057
Stefanie E KuchinskyAudiology and Speech Pathology Center, Walter Reed National Military Medical Center, Bethesda, Maryland 20889, USA.ORCID 0000-0001-9320-486X
University of Maryland, College Park · USWalter Reed National Military Medical Center · US

Funding

Speech Perception with High Cognitive DemandP01AG055365 · NIA · UNIV OF MARYLAND, COLLEGE PARK · PI GORDON-SALANT, SANDRA M · 2017 to 2021
$8.4M
COMPARATIVE AND EVOLUTIONARY BIOLOGY OF HEARINGT32DC000046 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI Catherine Emily Carr, Matthew J. Goupell · 1994 to 2026
$7.5M
Spectro-Temporal Plasticity in Primary Auditory CortexR01DC005779 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI Shihab A Shamma · 2004 to 2026
$6.7M
Neural Correlates of Streaming of Complex SoundsR01DC007657 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI SHAMMA, SHIHAB A · 2006 to 2015
$3.8M
Linkage/Positional Cloning In Communication DisordersZ01DC000046 · NIDCD · NATIONAL INSTITUTE ON DEAFNESS AND OTHER COMMUNICATION DISORDERS · PI DRAYNA, DENNIS · 1998 to 2008
$3.3M
Neural Correlates of Streaming of Complex SoundsR01DC016119 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI SHAMMA, SHIHAB A · 2018 to 2022
$2.9M
Intramural NIH HHS Z01 DC000046NIA NIH HHS P01 AG055365NIDCD NIH HHS R01 DC005779NIDCD NIH HHS R01 DC007657NIDCD NIH HHS R01 DC016119NIDCD NIH HHS T32 DC000046
6 · The paper itself

Abstract

Speech recognition in noisy environments can be challenging and requires listeners to accurately segregate a target speaker from irrelevant background noise. Stochastic figure-ground (SFG) tasks in which temporally coherent inharmonic pure-tones must be identified from a background have been used to probe the non-linguistic auditory stream segregation processes important for speech-in-noise processing. However, little is known about the relationship between performance on SFG tasks and speech-in-noise tasks nor the individual differences that may modulate such relationships. In this study, 37 younger normal-hearing adults performed an SFG task with target figure chords consisting of four, six, eight, or ten temporally coherent tones amongst a background of randomly varying tones. Stimuli were designed to be spectrally and temporally flat. An increased number of temporally coherent tones resulted in higher accuracy and faster reaction times (RTs). For ten target tones, faster RTs were associated with better scores on the Quick Speech-in-Noise task. Individual differences in working memory capacity and self-reported musicianship further modulated these relationships. Overall, results demonstrate that the SFG task could serve as an assessment of auditory stream segregation accuracy and RT that is sensitive to individual differences in cognitive and auditory abilities, even among younger normal-hearing adults.

Indexed as

Memory, Short-TermSpeech PerceptionAdultAudiometry, Pure-ToneHumansIndividualitySpeech

Identifiers

PMID36732241
PMCPMC9851714
OpenAlexW4317211146

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.