Evaluating a Deep Neural Noise-Reduction Algorithm for Hearing Aids
Eligible age
18+ yrs
Accepts
All genders
Locations
1 state
Healthy volunteers
No
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About this 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.
Sponsor: Purdue University
You may qualify if…
- ✓ 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).
You may not qualify if…
- ✕ Normal hearing
- ✕ Severe or profound hearing loss
- ✕ Conductive hearing loss
- ✕ Neural hearing loss
Where it's recruiting
West Lafayette
Source: ClinicalTrials.gov · NCT07287774 · last updated 2025-12-17