ArticleIEEE/ACM transactions on audio, speech, and language processing2023
Bilateral Cochlear Implant Processing of Coding Strategies With CCi-MOBILE, an Open-Source Research Platform.
Article in IEEE/ACM transactions on audio, speech, and language processing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Best cochlear locations for delivering interaural timing cues in electric hearing.Communications medicine · 2026Article
- Capabilities of the CCi-MOBILE cochlear implant research platform for real-time sound coding.The Journal of the Acoustical Society of America · 2025Article
- Auditory Motion Perception by Bilateral Cochlear Implant Users With a Sound Coding Strategy that Synchronizes Peak-Picking Across the Ears.Trends in hearingArticle
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Authors and funding
2 authors.
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Abstract
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 better residual hearing abilities and speech intelligibility support, bilateral and bimodal forms of assisted hearing is becoming popular among CI users. Effective bilateral processing calls for testing precise algorithm synchronization and fitting between both left and right ear channels in order to capture interaural time and level difference cues (ITD and ILDs). This work demonstrates bilateral implant algorithm processing using a custom-made CI research platform - CCi-MOBILE, which is capable of capturing precise source localization information and supports researchers in testing bilateral CI processing in real-time naturalistic environments. Simulation-based, objective, and subjective testing has been performed to validate the accuracy of the platform. The subjective test results produced an RMS error of ±8.66° for source localization, which is comparable to the performance of commercial CI processors.
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Registered trials
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