This comprehensive review explores the implications of artificial intelligence (AI) in
addressing cochlear implant (CI) issues and revolutionizing the landscape of auditory …

While speech understanding for cochlear implant (CI) users in quiet is relatively effective,
listeners experience difficulty in identification of speaker and sound location. To assist for …

The temporal-limits-encoder (TLE) strategy has been proposed to enhance the
representation of temporal fine structure (TFS) in cochlear implants (CIs), which is vital for …

Objectives: Bilateral cochlear implant (BiCI) listeners use independent processors in each
ear. This independence and lack of shared hardware prevents control of the timing of …

While listeners with bilateral cochlear implants (BiCIs) are able to access information in both
ears, they still struggle to perform well on spatial hearing tasks when compared to normal …

Bilateral cochlear implant (BICI) listeners do not have full access to the binaural cues that
normal hearing (NH) listeners use for spatial hearing tasks such as localization. When using …

Cochlear implant (CI) recipients face great challenges in speech-in-noise recognition,
partially due to the fact that only temporal envelopes from a limited number of bands are …

Cochlear implants (CI) are surgically implanted auditory prostheses for partially
compensating severe to profound sensorineural hearing losses. Despite providing …

Periodicity is one of the main cues for pitch-related speech perception but is poorly encoded
in cochlear implants (CIs). Most efforts towards CI periodicity enhancement involve explicit …

Technological advancements for biomedical interfaces and devices, such as cochlear
implants (CIs), depend on the integration of novel signal processing strategies enhanced by …