Evidence map›Paper›PMID 40698968›Full record

ArticleThe Journal of the Acoustical Society of America2025

Cues for tone-in-noise detection: Evidence from constant-stimuli and adaptive approaches.

Braden N Maxwell, Andrew J Oxenham

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Braden N MaxwellDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA.ORCID 0000-0002-8782-5560
Andrew J OxenhamDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA.ORCID 0000-0002-9365-1157

Funding

Supplement for temporal bone histological tissue scanning equipmentR01DC012262 · NIDCD · UNIVERSITY OF MINNESOTA · PI OXENHAM, ANDREW J. · 2013 to 2023
$4.7M
NIDCD NIH HHS R01 DC012262
6 · The paper itself

Abstract

Although tone-in-noise (TIN) detection has been studied for nearly a century, controversy still exists regarding the cues listeners use to detect the tone. This study investigated TIN detection in conditions that limited access to either level or temporal cues. Young normal-hearing listeners (N = 24) were tasked with detecting a 2-kHz tone in a simultaneously gated noise that was either narrowband [60 Hz wide, 50 dB sound pressure level (SPL), centered around 2 kHz] or broadband threshold-equalizing noise (125-15 000 Hz, 50 dB SPL/equivalent rectangular bandwidth). For both bandwidths, access to level cues was limited by rescaling portions of the magnitude spectrum, and access to temporal cues was limited by replacing the tone signal with a noise signal. As an adaptive procedure may allow listeners to learn different cues within each run, listeners were also tested using a constant-stimuli procedure, where performance was measured without feedback for randomly interspersed trials involving primarily level cues, primarily temporal cues, or both. The results suggest that both types of cues play a role in classic TIN detection, with level cues playing a greater role in narrowband conditions. Thresholds in the adaptive-procedure conditions were correlated with performance in the constant-stimuli conditions, suggesting consistent individual differences in the weighting of the two cues.

Indexed as

CuesNoisePerceptual MaskingPitch PerceptionSignal Detection, PsychologicalAcoustic StimulationAdultAuditory ThresholdFemaleHumansMalePsychoacousticsTime FactorsYoung Adult

Identifiers

PMID40698968
PMCPMC12410980

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.