Evidence map›Paper›PMID 40329585›Full record

ArticleTrends in hearing

Acoustic Realism of Clinical Speech-in-Noise Testing: Parameter Ranges of Speech-Likeness, Interaural Coherence, and Interaural Differences.

S Theo Goverts, Virginia Best, Julia Bouwmeester, Cas Smits, H Steven Colburn

Abstract read
In one paragraph

Article in Trends in hearing. 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

5 authors.

S Theo GovertsDepartment of Otolaryngology-Head and Neck Surgery, Section Ear & Hearing, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, Amsterdam, the Netherlands.ORCID 0000-0002-6887-5909
Virginia BestDepartment of Speech, Language and Hearing Sciences, Boston University, Boston, MA, USA.ORCID 0000-0002-5535-5736
Julia BouwmeesterDepartment of Otolaryngology-Head and Neck Surgery, Section Ear & Hearing, Amsterdam Public Health Research Institute, Amsterdam UMC Location Vrije Universiteit, Amsterdam, the Netherlands.
Cas SmitsDepartment of Otolaryngology-Head and Neck Surgery, Amsterdam Public Health Research Institute, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0003-1617-1253
H Steven ColburnDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.

Funding

Spatial Hearing in Speech MixturesR01DC015760 · NIDCD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Virginia Ann Best · 2017 to 2026
$3.6M
NIDCD NIH HHS R01 DC015760
6 · The paper itself

Abstract

Speech-in-noise testing is a valuable component of audiological examination that can provide estimates of a listener's ability to communicate in their everyday life. It has long been recognized, however, that the acoustics of real-world environments are complex and variable and not well represented by a typical clinical test setup. The first aim of this study was to quantify real-world environments in terms of several acoustic parameters that may be relevant for speech understanding (namely speech-likeness, interaural coherence, and interaural time and level differences). Earlier acoustic analyses of binaural recordings in natural environments were extended to binaural re-creations of natural environments that included conversational speech embedded in recorded backgrounds and allowed a systematic manipulation of signal-to-noise ratio. The second aim of the study was to examine these same parameters in typical clinical speech-in-noise tests and consider the "acoustic realism" of such tests. We confirmed that the parameter spaces of natural environments are poorly covered by those of the most commonly used clinical test with one frontal loudspeaker. We also demonstrated that a simple variation of the clinical test, which uses two spatially separated loudspeakers to present speech and noise, leads to better coverage of the parameter spaces of natural environments. Overall, the results provide a framework for characterizing different listening environments that may guide future efforts to increase the real-world relevance of clinical speech-in-noise testing.

Indexed as

AcousticsAudiometry, SpeechNoisePerceptual MaskingSpeech AcousticsSpeech IntelligibilitySpeech PerceptionAcoustic StimulationAdultFemaleHumansMaleSignal-To-Noise RatioTime FactorsYoung Adultacoustic realismbinaural recordingsecological validityhearing assessmentnatural environments

Identifiers

PMID40329585
PMCPMC12059433

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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.