Actively Recruiting
Evaluating a Deep Neural Noise-Reduction Algorithm for Hearing Aids
Led by Purdue University · Updated on 2025-12-17
50
Participants Needed
1
Research Sites
28 weeks
Total Duration
On this page
Sponsors
P
Purdue University
Lead Sponsor
O
Oticon
Collaborating Sponsor
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Evaluating a Deep Neural Noise-Reduction Algorithm for Hearing Aids
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 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 will not qualify if you...
- Normal hearing
- Severe or profound hearing loss
- Conductive hearing loss
- Neural hearing loss
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Purdue University
West Lafayette, Indiana, United States, 47905
Actively Recruiting
How is the study designed?
Study Type
INTERVENTIONAL
Masking
DOUBLE
Allocation
RANDOMIZED
Model
CROSSOVER
Primary Purpose
TREATMENT
Number of Arms
2
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