Neural network models clarify the role of plasticity in cochlear implant outcomes
Deep neural network models with altered input clarify the role of plasticity in cochlear implant users’ hearing difficulties.
Deep neural network models with altered input clarify the role of plasticity in cochlear implant users’ hearing difficulties.
By selectively altering spectral and temporal F0 cues, we study their contributions to CI pitch perception in real sounds.
This study analyzed benefit of hearing loops in Brazil.
Modeling and Mimicking Human Auditory Processing with Artificial Intelligence in Hearing Aids
AI algorithm developed for auditory training is as effective as validated protocol in improving auditory skills
SAMII uses a physhiological computational model of the peripheral auditory system to predict speech understanding performance
This study compares cortical speech tracking of real and virtual speakers in different conditions.
Detecting the neural correlates of speech perception under spectrally degraded listening conditions.
Video game with vibrotactile feedback for musical training of children with Cochlear Implants and Auditory Nerve deficiency.
Creation and use of hearing health management software can help prevent hearing loss and improve the collective health
Videos to guide the use and handling of hearing aids by the elderly population.
Communication strategies for elderly hearing aid users and their communication partners.
The first integrated test that can be used to simultaneously screen both hearing and cognitive function.
We will present our open-source framework which is facilitating large-scale data collection of hearing measures at Purdue.
Using mutli-site brain MRIs we find functional connectivity of attention & auditory networks reduce with age & hearing loss.
IndivHear is a deep reinforcement-learning-based hearing aid focussed on the complex nature of individual hearing losses
DIN had a better signal-to-noise ratio in antiphasic mode in schoolchildren with less hearing loss
Neural tracking of linguistic information embedded in connected speech provides a brain marker of speech understanding.
An attemp to understand hearing difficulties following peripheral loss
Machine learning models identify altered spontaneous brain connections in sound tolerance disorders
We used a multiplicity of measures to evaluate on-demand hearing-aid processing benefits for speech understanding and effort.