Evidence map›Paper›PMID 41569115›Full record

ArticleThe Journal of the Acoustical Society of America2026

Independence of spectral contrast effects across different frequency regions in speech perceptiona).

Christian E Stilp, Matthew B Winn

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2026. 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.

Christian E StilpDepartment of Speech Pathology and Audiology, Marquette University, Milwaukee, Wisconsin 53233, USA.ORCID 0000-0002-5119-201X
Matthew B WinnDepartment of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, Minnesota 55455, USA.ORCID 0000-0002-4237-7872

Funding

Perception of speech in context by listeners with healthy and impaired hearingR01DC020303 · NIDCD · UNIVERSITY OF LOUISVILLE · PI Christian Edmund Stilp, Matthew Brandon Winn · 2022 to 2026
$1.3M
NIDCD NIH HHS R01 DC020303
6 · The paper itself

Abstract

Identification of speech sounds is influenced by spectral contrast effects (SCEs), the perceptual magnification of spectral differences between successive sounds. SCEs result in the categorization of a target sound being biased away from spectral properties in the preceding acoustic context. Given remarkable consistency in the magnitudes of these contrast effects within the same frequency region [Stilp (2019) J. Acoust. Soc. Am. 146(2), 1503-1517], it was hypothesized that they would also show stable relationships across different frequency regions. In this study, normal-hearing listeners' phoneme categorization and contrast effects were assessed where phonetic contrasts were driven by changes in low-frequency F1 ("big"-"beg" continuum), mid-frequency F3 ("dot"-"got"), or high-frequency frication spectrum regions ("sheet"-"seat"). On each trial, listeners heard a precursor sentence that was filtered to emphasize energy in the lower or higher range within one of these frequency regions, followed by a target word that hinged on the frequency region that was filtered. Results showed that SCEs influenced categorization in each frequency region, as expected. However, effect magnitudes were not correlated with each other across frequency regions within or across two participant samples. This clarifies perception-in-context on a broader scale as the influence of spectral contrast is independent across different frequency regions.

Indexed as

PhoneticsSpeech AcousticsSpeech PerceptionAcoustic StimulationAdultFemaleHumansMaleSound SpectrographyYoung Adult

Identifiers

PMID41569115
PMCPMC12930537

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.