W. Nogueira

This paper proposes a deep learning-based sound coding strategy for cochlear implants that improves speech intelligibility in noisy environments.

This paper proposes a deep learning speech denoising strategy for cochlear implants, showing improved speech intelligibility in noise compared to traditional methods.

This paper shows that selective attention decoding from EEG in cochlear implant users correlates with speech understanding, but is affected by CI artifacts and speech material.