Music deep learning: deep learning methods for music signal processing—a review of the state-of-the-art
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 …
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 …
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 …
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 …
boost clinical process efficiency in medicine has exploded in the past 5 years. Machine …
Making music more accessible for cochlear implant listeners: Recent developments
Cochlear implants (CIs) have become remarkably successful in restoring the hearing
abilities of profoundly hearing-impaired or deaf people. Although in most cases the …
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 …
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
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 …
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 …
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 …
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
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 …
extent, access to music remains difficult for most CI users. In this work, a methodology for the …