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Evaluating a Deep Neural Noise-Reduction Algorithm for Hearing Aids

Evaluating a Deep Neural Noise-Reduction Algorithm for Hearing Aids in Varying Signal-to-Noise Conditions

Who can join

Ages 18 and older · All sexes

Inclusion Criteria:

* A hearing aid candidate with mild-to-moderate cochlear hearing loss, based on audiometric profile (at least 20 dB of hearing loss at 2000 Hz, with progressively worse hearing levels at higher frequencies).

Exclusion Criteria:

* Normal hearing
* Severe or profound hearing loss
* Conductive hearing loss
* Neural hearing loss

About the study

This study is designed to understand how different hearing-aid noise-reduction technologies affect a listener's ability to hear speech in noisy environments. Participants will listen to speech at several background-noise levels while trying different processing settings. By comparing performance across these conditions, the study aims to identify which types of noise reduction improve speech intelligibility the most. We expect that some noise-reduction strategies will help listeners understand speech better than others, especially in more difficult listening situations.

What is being tested

• Hearing Aid Noise Reduction - Off (device)
• Hearing Aid Noise Reduction - Low (device)
• Hearing Aid Noise Reduction - High (device)
• Negative SNR (other)
• Zero signal-to-noise ratio (other)
• Positive SNR (other)

Sponsor: Purdue University · Participants: 50 · Started: Oct 16, 2025

Contact the study team

Official record on ClinicalTrials.gov — NCT07287774

Locations in the U.S.

Conditions

• Sensorineural Hearing Loss
• Hearing Loss

From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.