Music deep learning: deep learning methods for music signal processing—a review of the state-of-the-art

L Moysis, LA Iliadis, SP Sotiroudis, AD Boursianis… - Ieee …, 2023 - ieeexplore.ieee.org
The discipline of Deep Learning has been recognized for its strong computational tools,
which have been extensively used in data and signal processing, with innumerable …

Can haptic stimulation enhance music perception in hearing-impaired listeners?

MD Fletcher - Frontiers in Neuroscience, 2021 - frontiersin.org
Cochlear implants (CIs) have been remarkably successful at restoring hearing in severely-to-
profoundly hearing-impaired individuals. However, users often struggle to deconstruct …

Artificial intelligence for cochlear implants: Review of strategies, challenges, and perspectives

B Essaid, H Kheddar, N Batel, MEH Chowdhury… - IEEE …, 2024 - ieeexplore.ieee.org
Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not
only for interacting with machines but also for facilitating communication for individuals with …

Machine learning and cochlear implantation—a structured review of opportunities and challenges

MG Crowson, V Lin, JM Chen, TCY Chan - Otology & Neurotology, 2020 - journals.lww.com
Objective: The use of machine learning technology to automate intellectual processes and
boost clinical process efficiency in medicine has exploded in the past 5 years. Machine …

Making music more accessible for cochlear implant listeners: Recent developments

W Nogueira, A Nagathil, R Martin - IEEE Signal Processing …, 2018 - ieeexplore.ieee.org
Cochlear implants (CIs) have become remarkably successful in restoring the hearing
abilities of profoundly hearing-impaired or deaf people. Although in most cases the …

Data-driven models in human neuroscience and neuroengineering

BW Brunton, M Beyeler - Current Opinion in Neurobiology, 2019 - Elsevier
Highlights•Data-intensive discovery is increasingly prevalent in modern human
neuroscience.•Well-motivated choices of input and output data is crucial in data-driven …

Advanced Artificial Intelligence Algorithms in Cochlear Implants: Review of Healthcare Strategies, Challenges, and Perspectives

B Essaid, H Kheddar, N Batel, A Lakas… - arXiv preprint arXiv …, 2024 - arxiv.org
Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not
only for interacting with machines but also for facilitating communication for individuals with …

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

S Tahmasebi, T Gajȩcki, W Nogueira - Frontiers in Neuroscience, 2020 - frontiersin.org
A cochlear implant (CI) is a surgically implanted electronic device that partially restores
hearing to people suffering from profound hearing loss. Although CI users, in general, obtain …

Optimization of sound coding strategies to make singing music more accessible for cochlear implant users

S Tahmasebi, M Segovia-Martinez… - Trends in …, 2023 - journals.sagepub.com
Cochlear implants (CIs) are implantable medical devices that can partially restore hearing to
people suffering from profound sensorineural hearing loss. While these devices provide …

A versatile deep-neural-network-based music preprocessing and remixing scheme for cochlear implant listeners

J Gauer, A Nagathil, K Eckel, D Belomestny… - The Journal of the …, 2022 - pubs.aip.org
While cochlear implants (CIs) have proven to restore speech perception to a remarkable
extent, access to music remains difficult for most CI users. In this work, a methodology for the …