Evidence map›Paper›PMID 37815080›Full record

ArticleNoise & health

Characterization and Prediction of Speech Intelligibility at the Output of Hearing Aids in a Noisy Working Environment.

Antoine Malrin, Joël Ducourneau, Patrick Chevret

Abstract read
In one paragraph

Article in Noise & health. 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

3 authors.

Antoine MalrinInstitut National de Recherche et Sécurité, 1 Rue du Morvan CS 60027, 54519 Vandœuvre-lès-Nancy; Laboratoire d'Énergétique et de Mécanique Théorique et Appliquée, 2 Avenue de la Foret de Haye 54518 Vandœuvre-lès-Nancy, France.
Joël DucourneauLaboratoire d'Énergétique et de Mécanique Théorique et Appliquée, 2 Avenue de la Foret de Haye 54518 Vandœuvre-lès-Nancy, France.
Patrick ChevretInstitut National de Recherche et Sécurité, 1 Rue du Morvan CS 60027, 54519 Vandœuvre-lès-Nancy, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Hearing aids are more and more technically advanced, but do not necessarily guarantee the reproduction of useful signals in all working environments. This is particularly the case for speech intelligibility. This study focuses on the prediction of hearing aid performance in the case of a moderate deafness setting, in service and industrial work environments. To improve intelligibility, hearing aids propose signal processing options such as noise reduction and compression. These processes can transform hearing aids into nonlinear systems. The aim of this study is to develop a nonlinear method for the characterization of hearing aids. Materials and Methods: The method is based on the synchronized swept sine (SSS) signal method. Results: The statistical study showed that the intelligibility, assessed using the speech transmission index in these sound environments, is well estimated for every program, although certain differences are observed when the compression effect is too high in the service work sector. Conclusion: The characterizations of hearing aids using the programs studied did not highlight the presence of frequency nonlinearities. The characterization method could not take into account amplitude nonlinearities when there is too much gain compression in the hearing process. Globally, all the hearing aid programs provided a very significant improvement in intelligibility in service and industrial work contexts.

Indexed as

Hearing AidsHearing Loss, SensorineuralSpeech PerceptionHumansSpeech IntelligibilityWorking Conditionscharacterizationhearing aidsintelligibilitynoisy working environmentsynchronized swept sine

Identifiers

PMID37815080
PMCPMC10747809

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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.