Evidence map›Paper›PMID 40594752›Full record

ArticleScientific reports2025

Effect of digital noise reduction processing on subcortical speech encoding and relationship to behavioral outcomes.

Subong Kim, Mary Schroeder, Hari M Bharadwaj

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Subong KimDepartment of Communication Sciences and Disorders, Montclair State University, Montclair, NJ, USA.
Mary SchroederDepartment of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, USA.
Hari M BharadwajDepartment of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, USA. hari.bharadwaj@pitt.edu.

Funding

Individualized assays of supra-threshold hearing deficitsR01DC015989 · NIDCD · PURDUE UNIVERSITY · PI HEINZ, MICHAEL G · 2017 to 2021
$1.9M
Hearing Health Foundation 2022 ERGNIDCD NIH HHS R01 DC015989NIDCD NIH HHS R01DC015989Royal National Institute for Deaf People Flexi Grant F110
6 · The paper itself

Abstract

Perceptual benefits from digital noise reduction (NR) vary among individuals with different noise tolerance and sensitivity to distortions introduced in NR-processed speech; however, the physiological bases of the variance are understudied. Here, we developed objective measures of speech encoding in the ascending pathway as candidate measures of individual noise tolerance and sensitivity to NR-processed speech using the brainstem responses to speech syllable /da/. The speech-evoked brainstem response was found to be sensitive to the addition of noise and NR processing. The NR effects on the consonant and vowel portion of the responses were robustly quantified using response-to-response correlation metrics and spectral amplitude ratios, respectively. Further, the f0 amplitude ratios between conditions correlated with behavioral accuracy with NR. These findings suggest that investigating the NR effects on bottom-up speech encoding using brainstem measures is feasible and that individual subcortical encoding of NR-processed speech may relate to individual behavioral outcomes with NR.

Indexed as

Brain StemNoiseSpeechSpeech PerceptionAcoustic StimulationAdultEvoked Potentials, Auditory, Brain StemFemaleHumansMaleYoung Adult

Identifiers

PMID40594752
PMCPMC12219303

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.