Evidence map›Paper›PMID 36706459›Full record

ArticleAmerican journal of audiology2023

Verification of Estimated Output Signal-to-Noise Ratios From a Phase Inversion Technique Using a Simulated Hearing Aid.

Donghyeon Yun, Yi Shen, Jennifer J Lentz

Abstract read
In one paragraph

Article in American journal of audiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Donghyeon YunDepartment of Speech, Language and Hearing Sciences, Indiana University Bloomington.ORCID 0000-0003-4986-1891
Yi ShenDepartment of Speech and Hearing Sciences, University of Washington, Seattle.
Jennifer J LentzDepartment of Speech, Language and Hearing Sciences, Indiana University Bloomington.ORCID 0000-0001-9883-7340

Funding

Individualized Assessment and Prediction of Speech-Recognition Performance In Adults with Age-related Hearing LossR01DC017988 · NIDCD · UNIVERSITY OF WASHINGTON · PI SHEN, YI · 2019 to 2023
$1.5M
NIDCD NIH HHS R01 DC017988
6 · The paper itself

Abstract

purposeThe signal-to-noise ratio (SNR) for speech presented in background noise may vary after being processed by digital hearing aids with nonlinear signal processing algorithms, such as wide dynamic range compression (WDRC). A phase inversion technique has been previously developed to assess the output SNR of hearing aids. However, systematic validations of this technique have not been conducted. This study aims to validate the phase inversion technique.

methodA simulated hearing aid with multichannel WDRC was implemented, from which the output SNRs, computed via shadow filtering, for connected speech in background noise were directly computed. The agreement between the shadow filter output SNRs and those estimated using the phase inversion technique for the same stimuli was utilized to validate the phase inversion technique. The background noise was 2- or 20-talker babble noise, and the speech stimuli were presented at SNRs of -10 to +10 dB at the input of the simulated hearing aid. The simulated hearing aid was configured to provide amplification for four representative audiograms, and the WDRC was set to be fast or slow acting. To investigate the effects of additive noise, independent of the presented noise stimulus, on the phase inversion estimated output SNR, the same simulated hearing aid was implemented with an additive Gaussian noise at its input (45 and 60 dB SPL).

resultsResults showed that the phase inversion technique could either overestimate or underestimate output SNR, depending on the test condition; the estimation errors tended to coincide with temporal landmarks, such as natural pauses between consecutive sentences or fricatives; and increasing the simulated noise led to poorer estimates of output SNR.

conclusionsResults imply that the accuracy of the phase inversion technique is dependent on the test conditions. Thus, the phase inversion technique should be used with caution, and its validity should be evaluated further.

Indexed as

Hearing AidsHearing Loss, SensorineuralSpeech PerceptionAlgorithmsHumansNoiseSignal-To-Noise Ratio

Identifiers

PMID36706459
PMCPMC10166192

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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.