Removing Background Talker Noise for Cochlear Implant Users
NCT ID: NCT04777669
Last Updated: 2022-07-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
EARLY_PHASE1
100 participants
INTERVENTIONAL
2020-04-25
2023-03-31
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
BASIC_SCIENCE
NONE
Study Groups
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Experiment
Subjects will be tested for their ability to understand speech with and without noise reduction
Noise Reduction
In within subject design, listeners will have background noise removed by a noise reduction algorithm
Interventions
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Noise Reduction
In within subject design, listeners will have background noise removed by a noise reduction algorithm
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
12 Years
ALL
No
Sponsors
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NYU Langone Health
OTHER
York Sound Inc
INDUSTRY
Responsible Party
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Locations
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New York University School of Medicine
New York, New York, United States
Countries
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Facility Contacts
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Other Identifiers
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SBIR01
Identifier Type: -
Identifier Source: org_study_id
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