New hearing aid tech aims to cut through noise

NCT ID NCT07287774

Recruiting now Symptom relief Sponsor: Purdue University Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests a new noise-reduction feature for hearing aids that uses deep neural networks to help people hear speech better in noisy settings. Fifty adults with mild-to-moderate hearing loss will listen to sentences at different noise levels while using three settings: no noise reduction, low-strength, and high-strength. Researchers will measure how accurately participants recall words to see which setting works best.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: deep neural noise-reduction algorithm for hearing aids
What this could lead to: If successful, this could lead to better hearing aids that help people understand speech more clearly in noisy places like restaurants or parties.
What could go wrong: This is a small, early-stage study with only 50 participants, so results may not apply to everyone. The improvement in real-world listening may be modest.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

cochlear disorder hearing loss disorder Hearing Loss, Sensorineural sensorineural hearing loss disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

HEARING LOSS, COCHLEAR

Contacts and locations

Locations

Purdue University
RECRUITING

West Lafayette, Indiana, 47905, United States

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