[HTML][HTML] Cochlear implant research and development in the twenty-first century: a critical update

RP Carlyon, T Goehring - Journal of the Association for Research in …, 2021 - Springer
Cochlear implants (CIs) are the world's most successful sensory prosthesis and have been
the subject of intense research and development in recent decades. We critically review the …

Noise reduction in cochlear implant signal processing: A review and recent developments

F Henry, M Glavin, E Jones - IEEE reviews in biomedical …, 2021 - ieeexplore.ieee.org
Cochlear implant technology successfully restores hearing function to patients with sensory
impairment. Although cochlear implant users generally hear well in quiet, they still find noisy …

[HTML][HTML] Convolutional neural network-based speech enhancement for cochlear implant recipients

N Mamun, S Khorram, JHL Hansen - Interspeech, 2019 - ncbi.nlm.nih.gov
Attempts to develop speech enhancement algorithms with improved speech intelligibility for
cochlear implant (CI) users have met with limited success. To improve speech enhancement …

[HTML][HTML] Experimental Investigation of Acoustic Features to Optimize Intelligibility in Cochlear Implants

F Henry, A Parsi, M Glavin, E Jones - Sensors, 2023 - mdpi.com
Although cochlear implants work well for people with hearing impairment in quiet conditions,
it is well-known that they are not as effective in noisy environments. Noise reduction …

Improving the intelligibility of speech for simulated electric and acoustic stimulation using fully convolutional neural networks

NYH Wang, HLS Wang, TW Wang… - … on Neural Systems …, 2020 - ieeexplore.ieee.org
Combined electric and acoustic stimulation (EAS) has demonstrated better speech
recognition than conventional cochlear implant (CI) and yielded satisfactory performance …

[HTML][HTML] Deep learning-based speech enhancement with a loss trading off the speech distortion and the noise residue for cochlear implants

Y Kang, N Zheng, Q Meng - Frontiers in Medicine, 2021 - frontiersin.org
The cochlea plays a key role in the transmission from acoustic vibration to neural stimulation
upon which the brain perceives the sound. A cochlear implant (CI) is an auditory prosthesis …

[HTML][HTML] Light-weight self-attention augmented generative adversarial networks for speech enhancement

L Li, Z Lu, T Watzel, L Kürzinger, G Rigoll - Electronics, 2021 - mdpi.com
Generative adversarial networks (GANs) have shown their superiority for speech
enhancement. Nevertheless, most previous attempts had convolutional layers as the …

Alaryngeal Speech Enhancement for Noisy Environments Using a Pareto Denoising Gated LSTM

R Maskeliūnas, R Damaševičius, A Kulikajevas… - Journal of Voice, 2024 - Elsevier
Loss of the larynx significantly alters natural voice production, requiring alternative
communication modalities and rehabilitation methods to restore speech intelligibility and …

An end-to-end deep learning speech coding and denoising strategy for cochlear implants

T Gajecki, W Nogueira - ICASSP 2022-2022 IEEE International …, 2022 - ieeexplore.ieee.org
Cochlear implant (CI) users struggle to understand speech in noisy conditions. To address
this problem, we propose a deep learning speech denoising sound coding strategy that …

Combination and comparison of sound coding strategies using cochlear implant simulation with mandarin speech

EHH Huang, CM Wu, HC Lin - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
Three cochlear implant (CI) sound coding strategies were combined in the same signal
processing path and compared for speech intelligibility with vocoded Mandarin sentences …