Graphic representation of how differences in PCA components are reflected in MAPs.

How variation in cochlear implant performance relates to differences in MAP parameters

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Post published:June 7, 2021
Post Category:AI for auditory implants / Big Data in Audiology / VCCA2021 ABSTRACTS

Statistical analysis of how fitting parameters relate to speech recognition scores finds meaningful differences between the highest- and lowest-scoring tertiles of recipients.

Real-Time Deep Neural Network to Remix Music for Cochlear Implant Users

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Post published:June 8, 2020
Post Category:AI and Music / AI for auditory implants / VCCA2020 ABSTRACTS

Design and evaluation of a real-time audio source separation algorithm to remix music for cochlear implant users

Detection of current shunts with a ladder-network model

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Post published:June 4, 2020
Post Category:AI for auditory implants / Computational Models / VCCA2020 ABSTRACTS

Detection of current shunts with a ladder-network model

The Panoramic ECAP Method: modelling the electrode-neuron interface in cochlear implant users

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Post published:June 2, 2020
Post Category:AI for auditory implants / Computational Models / VCCA2020 ABSTRACTS

The Panoramic ECAP Method models patient-specific electrode-neuron interfaces in cochlear implant users, and may provide important information for optimizing efficacy and improving speech perception outcomes.