Clinical trial Recruiting at 1 site Interventional Ages 18 and up

Trying a deep-learning noise-reduction feature for hearing aids

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

Run by Purdue University · NCT07287774 · Data updated 2026-11-12

This test tries a deep-learning noise-reduction feature in hearing aids to see if it helps people with mild-to-moderate cochlear hearing loss understand speech in noisy places.

Quick facts

Study typeInterventional
Ages18 Years and up
SexAll
Enrollment50 (estimated)
SponsorPurdue University
Academic / other
Locations1 site (West Lafayette, Indiana)
StatusRecruiting
StartedOctober 16, 2025
Main results expectedApril 30, 2026
Study endsApril 30, 2026
Registry record updatedDecember 17, 2025
Trial IDNCT07287774 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are hearing-aid candidates with mild-to-moderate cochlear (sensorineural) hearing loss, especially with higher-frequency loss and who have difficulty understanding speech in noise.

Probably not a fit

People with normal hearing, severe or profound hearing loss, conductive hearing loss, or neural hearing loss are unlikely to benefit from or qualify for this test.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

Participants with mild-to-moderate cochlear hearing loss will listen to speech stimuli presented with various levels of background noise while wearing a hearing-aid configuration that isolates single-microphone noise-reduction. The study compares several processing modes (no noise reduction, low, and high DNN-based noise reduction) across multiple signal-to-noise ratios to represent easier and harder listening conditions. All participants experience every condition in a counterbalanced order to limit order effects, and speech intelligibility is measured under each setting. The monaural, omnidirectional setup removes directional microphone benefits so the effects of the noise-reduction algorithms can be isolated.

Why it matters

Potential benefit: If successful, this approach could help some listeners understand speech better in noisy everyday settings and reduce listening effort.

How similar studies have gone: Prior research has shown that DNN-based noise-reduction can improve speech clarity for some listeners, but benefits vary with noise type, SNR, and individual hearing profiles.

Who can join: the full rules

Show full inclusion / exclusion criteria
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

Where it's running

  • Purdue University
    West Lafayette, Indiana, United States
    Recruiting

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
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Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.