Cochlear Implant Users
Conditions
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
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
Study design
Eligibility
Inclusion criteria
* Participants must have bilateral cochlear implants from Cochlear or Advanced Bionics
Exclusion criteria
* Non-native English speakers
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Percent correct scores on speech perception in noise. | Enrollment to 9 months | 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 | Enrollment to 9 months | 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. |
Countries
United States