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
2 other identifiers
interventional
25
1 country
1
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
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Jan 2026
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2026
CompletedFirst Submitted
Initial submission to the registry
January 6, 2026
CompletedFirst Posted
Study publicly available on registry
January 7, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
August 31, 2026
January 7, 2026
December 1, 2025
8 months
January 6, 2026
January 6, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Percent correct scores on speech perception in noise.
The 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.
Enrollment to 9 months
Root mean square error for sound source localization
The 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.
Enrollment to 9 months
Study Arms (1)
Speech perception and localization with different beamformers
EXPERIMENTALParticipants will listen to stimuli processed by different beamformer algorithms and repeat speech presented in noise and identify the location that sound originated from.
Interventions
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
Eligibility Criteria
You may qualify if:
- Participants must have bilateral cochlear implants from Cochlear or Advanced Bionics
You may not qualify if:
- Non-native English speakers
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Speech and Hearing Science Building
Champaign, Illinois, 61820, United States
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 6, 2026
First Posted
January 7, 2026
Study Start
January 1, 2026
Primary Completion (Estimated)
August 31, 2026
Study Completion (Estimated)
August 31, 2026
Last Updated
January 7, 2026
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will share
- Time Frame
- The data that will be shared will be made available no later than the time of an associated publication or one year after the end of the performance period. Per the policies of the Illinois Data Bank, data will be available for at least five years after it is first shared.
- Access Criteria
- Data that will be shared will be stored in the Illinois Data Bank, a data repository managed by the University of Illinois. The data will be publicly available via the Illinois Data Bank.
The de-identified behavioral IPD from all experiments will be shared with the exception of pilot data.