Integration of patient-reported outcomes (PROs) are a critical to the humanisation of AI in hearing healthcare.
A new virtual reality-based fine-tuning procedure has been developed for hearing devices, which has the potential to improve the hearing device fit in various real-world scenarios, as suggested by preliminary results from a small study involving cochlear-implant users.
Computer vision based conditional play audiometry
Receiver-in-ear hearing aid comparison on music perception for hearing-impaired listeners
Method for continuous reporting on hearing aid user key situations using ecological momentary assessment and data logging
Noise suppression method exploiting the stationarity of sound textures
Wikidata is a source of structured reference information in audiology
Audiology education and hearing health promotion using Wikiversity
Comparing Digits-in-Noise Test implementations between onsite and online platforms with NH listeners show comparable results
Hearing thresholds obtained with EEG are compared to the PTA-results show that a fast and objective hearing test is feasible
The Oticon Medical Field Research Platform is an iOS app allowing for real-time monitoring of CI users' daily experiences.
Using the Acoustic Change Complex (ACC) prediction model to predict speech perception in noise
Evaluation of the automatic scoring of the DIN test using Kaldi-NL automatic speech recognition with normal-hearing children.
Deep neural network models with altered input clarify the role of plasticity in cochlear implant users’ hearing difficulties.
We collected and analyzed hearing aid mic and induction coil input audio recordings from various real-world situations.
Children with listening difficulty have a poorer ability to differentiate target signal from background noise.
Evaluation of HRI via backchannels when normal-hearing adults perform two auditory tests using a NAO humanoid robot.
Improvement of speech in noise comprehension using vibrotactile pulses
mHealth has the potential to deliver scalable hearing health training to ECD practitioners.
Coping with noise and reverberation using multi-channel speech enhancement DNN algorithms for cochlear implants
Datalog: a tool for monitoring the use of amplification devices
Characterizing the representation of vocal tract length differences in the output signal of cochlear implants.
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