Removing Background Talker Noise for Cochlear Implant Users

Status Recruiting

Clinical Trial Summary

When hearing-impaired listeners are properly aided with a hearing aid (HA) or cochlear implant (CI), they are often able to comfortably maintain a conversation in quiet environments. However, in group environments, such as a large family dinner, restaurant, or other environment where multiple people are talking simultaneously, hearing-impaired listeners have great difficulty participating in conversations and frequently withdraw or avoid the situation. As such, it would be highly beneficial to implement an algorithm into HAs or CIs to remove background talkers ("babble") from the signal to reduce listening effort for the hearing-impaired listener and allow them to converse as if they were in a quiet environment. Although HAs and CIs frequently incorporate noise reduction algorithms, these algorithms are not effective when the background is babble. The problem of removing babble involves segregating speech from speech. Hence, the spectral properties of the signal and noise are extremely similar. Despite these challenges, we developed an algorithm to remove background babble. In the following study will test the ability of cochlear implant users to understand speech with background babble noise using our noise reduction algorithm or no noise reduction algorithm. We hypothesize that CI users will be able to understand significantly more speech in babble noise when using our algorithm.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Hearing Loss

Clinical Trial Details

NCT number	NCT04777669
Study type	Interventional
Source	York Sound Inc
Contact
Status	Recruiting
Phase	Early Phase 1
Start date	April 25, 2020
Completion date	March 31, 2023

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