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

Status: Recruiting
Location: See location...
Intervention Type: Other, Device
Study Type: Interventional
Study Phase: Not Applicable
SUMMARY

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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• 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).

Locations
United States
Indiana
Purdue University
RECRUITING
West Lafayette
Time Frame
Start Date: 2025-10-16
Estimated Completion Date: 2026-04-30
Participants
Target number of participants: 50
Treatments
Experimental: Hearing Aid Noise-Reduction Processing
Participants complete all noise-reduction conditions (Off, Low, High) at all tested signal-to-noise ratios in a within-subject crossover design.
Experimental: Signal-to-Noise Ratio
Relative speech and noise levels
Related Therapeutic Areas
Sponsors
Collaborators: Oticon
Leads: Purdue University

This content was sourced from clinicaltrials.gov

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