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
Participants must have bilateral cochlear implants from Cochlear or Advanced Bionics
Non-native English speakers
Single group
Modifying audio input for cochlear implant processor
DeviceSound 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
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.
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.
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University of Illinois at Urbana-Champaign
Lead sponsor
National Institute on Deafness and Other Communication Disorders (NIDCD)
Collaborator
Vortant Technologies, LLC
Collaborator
