Evaluating a Deep Neural Noise-Reduction Algorithm for Hearing Aids (NCT07287774)
Evaluating a Deep Neural Noise-Reduction Algorithm for Hearing Aids in Varying Signal-to-Noise Conditions
๐ฉบ Plain-English Summary (8th-Grade Level)
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.
Who can join: Review the eligibility criteria below.
Location: Purdue University โ West Lafayette, Indiana
Age range: 18 Years
๐งช Interventions in This Study
๐ "Do I Qualify?" โ 1-Minute Self Screener
Instant ChecklistFull eligibility criteria are available on the official NIH protocol. View the criteria โ
๐ All Participating Trial Locations (1 Sites)
- Purdue University โ West Lafayette, Indiana
๐ Contact the Study Coordinator
Phone: (765) 494-5956
Email: PurdueEarLab@gmail.com
Coordinator details come directly from the registered NIH protocol. Confirm the study is still recruiting before traveling.
๐ฐ Cost, Insurance & Patient Rights
- 100% Free Items: The investigational treatment and protocol-required procedures are supplied at zero cost by the sponsor.
- Routine Patient Care: Under federal law (ACA ยง 2709) and many state statutes, routine care costs are covered during participation.
- Voluntary Participation: You may withdraw at any time without affecting your standard medical care.
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๐ก How to Participate
- Check the checklist above to see if you may qualify.
- Contact the study coordinator using the phone/email above.
- Ask about the visit schedule, what is covered at no cost, and any travel support.
- Confirm with your own doctor before making a decision.