Evidence map›Paper›PMID 39545746›Full record

ArticleThe Journal of the Acoustical Society of America2024

Testing the role of temporal coherence on speech intelligibility with noise and single-talker maskers.

Jaeeun Lee, Andrew J Oxenham

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 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

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

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

2 authors.

Jaeeun LeeDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA.ORCID 0000-0002-4435-1481
Andrew J OxenhamDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA.ORCID 0000-0002-9365-1157

Funding

Neural Correlates of Streaming of Complex SoundsR01DC016119 · NIDCD · UNIV OF MARYLAND, COLLEGE PARK · PI SHAMMA, SHIHAB A · 2018 to 2022
$2.9M
NIDCD NIH HHS R01 DC016119
6 · The paper itself

Abstract

Temporal coherence, where sounds with aligned timing patterns are perceived as a single source, is considered an essential cue in auditory scene analysis. However, its effects have been studied primarily with simple repeating tones, rather than speech. This study investigated the role of temporal coherence in speech by introducing across-frequency asynchronies. The effect of asynchrony on the intelligibility of target sentences was tested in the presence of background speech-shaped noise or a single-talker interferer. Our hypothesis was that disrupting temporal coherence should not only reduce intelligibility but also impair listeners' ability to segregate the target speech from an interfering talker, leading to greater degradation for speech-in-speech than speech-in-noise tasks. Stimuli were filtered into eight frequency bands, which were then desynchronized with delays of 0-120 ms. As expected, intelligibility declined as asynchrony increased. However, the decline was similar for both noise and single-talker maskers. Primarily target, rather than masker, asynchrony affected performance for both natural (forward) and reversed-speech maskers, and for target sentences with low and high semantic context. The results suggest that temporal coherence may not be as critical a cue for speech segregation as it is for the non-speech stimuli traditionally used in studies of auditory scene analysis.

Indexed as

Acoustic StimulationCuesNoisePerceptual MaskingSpeech IntelligibilitySpeech PerceptionAdultAudiometry, SpeechAuditory ThresholdFemaleHumansMaleSpeech AcousticsTime FactorsYoung Adult

Identifiers

PMID39545746
PMCPMC11575144

What OpenQuestion holds

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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.