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Test–retest reliability of Wave I amplitude and latency was assessed in 30 healthy adults (18–25 years, 19 women) with normal hearing and speech-in-noise performance, along with potential sources of variability (head size, cardiorespiratory parameters, tester effects)
The DIAMANT study reports hearing phenotypes encountered in patient with type-2 diabetes, with a particular focus on subclinical hearing loss associated with speech-in-noise intelligibility deficit.
AutoNRM automatically generates ECAP-based cochlear implant fitting maps that provide hearing, speech perception, and subjective listening outcomes comparable to conventional psychophysical fitting in adult CI users.
We validate this framework for studying auditory microcircuit dynamics, using forward simulations and parameter recovery analyses to confirm plausible cortical responses and reveal clear boundaries of parameter identifiability from laminar fMRI.
RNID shares how insights from people with lived experience, professionals, and researchers are shaping a technology-enabled future for more accessible and person-centred healthcare.
This study found that the speed and accuracy of speech recognition was significantly lower when listening to multiple changing target talkers compared to a single constant talker for sentences in noise in individuals with normal hearing.
This study investigates whether distributing sounds across more distinct spatial locations improves auditory subitizing, finding a tradeoff between accuracy and response speed across two spatial configurations.
The Multichannel Vibrotactile Glove, an assistive device we developed to convey acoustic signals as vibrations and to serve as a flexible platform to explore signal processing strategies for multisensory hearing rehabilitation, enables perception of complex timbre cues, but auditory-tactile stimulation was only beneficial for temporal cues and not spectral cues, revealing constraints and opportunities for multisensory technologies development.
DNN-based speech enhancement in hearing aids show their advantage only in realistic conditions, exposing the limits of current evaluation methods.
This systematic review of five studies indicates that chiropractic interventions primarily targeting cervical pathologies can improve audio-vestibular symptoms, while emphasizing the critical need for multidisciplinary clinical trials and the differentiation of specific vestibular functions from general balance control.
We introduce a new, open-source framework for training a low-resource, low-latency ML hearing aid, based on a loss function that compares neural activity patterns from a differentiable model of the human inner ear.
Despite early extended high-frequency loss, speech-in-noise difficulties in cystic fibrosis are primarily predicted by standard-frequency hearing and associated neural dysfunction.
Exposure to misophonic trigger sounds selectively degrades binaural dichotic listening performance in adults with misophonia, with no effect observed in healthy controls
EdgeConvGRU is a lightweight, 34K-parameter neural network architecture that enables accurate, real-time acoustic scene classification tailored for resource-constrained hearing aid devices.
This study investigated neurophysiological markers of adaptation to noise in normal-hearing adults. Behavioural amplitude modulation (AM) detection thresholds and auditory steady-state responses (ASSRs) were measured at early and late temporal positions relative to noise onset. Results showed improved AM detection and increased ASSR amplitude in the late condition, suggesting ASSRs may objectively index adaptation to noise.
Individuals with misophonia demonstrated significantly poorer ACT scores compared to controls, indicating impaired speech perception in noise likely driven by heightened emotional reactivity affecting central auditory processing.
A retrospective analysis of 538 adult cochlear implant recipients showing that individual post-operative speech scores cannot be predicted from pre-operative data, but binary risk screening and post-operative profiling offer clinically actionable alternatives.
Using mathematical models to understand the mechanisms by which cochlear implants can cause unintentional stimulation of the vestibular system.
Taking individual sound preferences into account when recommending hearing aids may result in clinical benefits.
Can amplitude modulation enhancement be applied the same way across different music genres when targeted for cochlear implant listeners?
Cochlear implant users show significant deficits in speech recognition and sound localization in complex acoustic environments compared to normal-hearing individuals, highlighting the need for more ecologically valid assessment methods beyond standard audiometry.
We repurpose the click-evoked otoacoustic emissions paradigm to monitor the brainstem reflexes and aid in the differential diagnosis of auditory neuropathy.
Misophonia demonstrated steeper N1–P2 slopes alongside shallower categorical loudness scaling compared to controls.
Groups with sound sensitivity disorders show different heart rate and breathing patterns in response to emotional sounds, with the Hyperacusis group showing the strongest reactions across both tasks.
Speech-in-noise screening identifies children missed by traditional methods, with electrophysiologic findings revealing underlying neural encoding deficits.
This study evaluates a novel amplitude compression strategy for improved listening outcomes with hearing aids at moderate to high sound levels.
We use audiogram-derived phoneme confusions to adapt self-supervised speech representations for listener-aware hearing-aid processing without requiring behavioral listener responses.
A lightweight deep-learning pipeline classified chinchilla ABR waterfall plots to detect hidden cochlear pathology and differentiate synaptopathic-like changes from carboplatin-induced inner-hair-cell dysfunction.
This study evaluates a framework for real-time DOA-guided single, and multi-beam MVDR beamforming for hearing aids using a participant-in-the-loop speech reception test.
Clinical cochlear implant registries suffer from structured, non-random missingness in key variables, and a measurement-aware design is essential to enable reliable, generalizable predictive modeling and personalized care.
Towards improving the precision of cochlear implant stimulation: Computational modelling of channel interactions
We investigated the benefit of scene-aware dynamic range compression (DRC) in comparison to conventional DRC in complex communication scenarios using a database of natural conversations for simulations in a virtual acoustic environment with a-priori knowledge.
This study explores differential privacy in synthetic audiometric data, simulating epsilon noise levels that preserve statistical validity for open reproducible research.
This study demonstrates that individuals with misophonia exhibit altered auditory cortical processing.
In the same animals, single-unit recordings from IC neurons revealed that old mice show degraded tone detection in noise, with fewer units responding selectively to the embedded tone, a shift toward more sustained response types, and heterogeneous spiking responses to tone-in-noise stimuli compared to young animals.
Statistical learning may be the mechanism that improves listening in quiet during a cortical speech tracking experiment.
This work proposes a conceptual digital ecosystem integrating behavioural and sound-based strategies to enable scalable tinnitus rehabilitation.
This presentation outlines a part‑task simulation framework in audiology education that addresses clinical training capacity and assessment challenges by progressively developing and integrating discrete clinical competencies into holistic simulated cases.
We use a naturalistic audio foundation model and explainability analyses to show spatial- and spectral cues are encoded at different model stages, and show a difference in relevant frequency regions for localisation- versus classification tasks.
Neural and behavioural measures of binaural processing improve with larger interaural time differences in children, with no clear differences between those with and without a history of otitis media.