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Assessment of a Method to Improve Cochlear Implant Users' Speech Perception in Noisy Environments While Maintaining Their Ability to Determine Where a Sound Originates From

Spatially Transparent Binaural Beamforming for Noise Reduction for Cochlear Implant Processors

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07323862
Enrollment
25
Registered
2026-01-07
Start date
2026-04-27
Completion date
2027-08-31
Last updated
2026-09-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cochlear Implant Users

Keywords

Beamforming, Speech perception in noise, Localization

Brief summary

The goal of this clinical trial is to determine if a new algorithm can improve speech perception for cochlear implant users. The main questions it aims to answer \[is/are\]: * Does the algorithm improve speech perception in noisy environments? * Does the algorithm allow listeners to determine where a sound is coming from? Participants will * Listen to and repeat sentences presented in the presence of noise * Indicate the location that sounds originated from

Interventions

DEVICEModifying audio input for cochlear implant processor

Sound will be preprocessed with different beamformer algorithms and presented either through the auxiliary input port or via a streaming device to the participants' cochlear implant processor

Sponsors

University of Illinois at Urbana-Champaign
Lead SponsorOTHER
National Institute on Deafness and Other Communication Disorders (NIDCD)
CollaboratorNIH
Vortant Technologies, LLC
CollaboratorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Participants must have bilateral cochlear implants from Cochlear or Advanced Bionics

Exclusion criteria

* Non-native English speakers

Design outcomes

Primary

MeasureTime frameDescription
Percent correct scores on speech perception in noise.Enrollment to 9 monthsThe speech perception in noise test consists of lists of sentences in the presence of multi-talker babble or diffuse noise. The target location will vary across conditions. Participants will need to repeat back as much of the target sentence as they can.
Root mean square error for sound source localizationEnrollment to 9 monthsThe localization test will involve a target speaker in the presence of multi-speaker babble or diffuse noise. The virtual location of the sound sources will be manipulated and participants will need to indicate the location of the target speaker.

Countries

United States

Contacts

CONTACTJustin Aronoff, PhD
jaronoff@illinois.edu217 244-2154

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Sep 3, 2026