Training Clinician Communication Skills Using Generative AI-Driven Virtual Patients
A generative AI platform that lets clinicians interact with lifelike virtual patients to build communication skills through realistic, real-time conversations.
A Physiologically Explainable Machine Learning Framework for Hearing Aid Development
In this work, we propose a machine learning framework for hearing aid development based on a physiological model of the inner ear (CARFAC) and neural network.
Computational modeling of human auditory evoked potentials
We used a computational modeling framework to simulate auditory evoked brain responses to transient and periodic stimuli at a range of intensities in healthy ears and in ears with different profiles of cochlear impairment, based on audiograms, human aging studies and hypothetical cases of isolated cellular damage.
Environmental Sound Scene Recognition for Assistive Hearing Applications
An AI-based acoustic scene recognition system was developed to classify environmental sounds in real time and enable adaptive, context-aware hearing aid adjustments for individuals with hearing loss.
Evaluating the Predictive Value of audiometric, electroacoustic, and psychoacoustic measurements for Aided Speech Perception in Noise
HASPI tracks directionality, spatial noise and reverberation effects on hearing aid output intelligibility at the group level, yet supra-threshold processing—not electro-acoustic SNR gain—best explains individuals’ benefits.
Mutual Information Reveals Temporal Dynamics of Functional Connectivity in Awake Auditory Cortex
Taking advantage of information theory, this study investigated the functional connectivity in the auditory cortex and how its temporal dynamics is affected by stimulus inputs.
Noise Pollution in Children and Adolescents with Autism Spectrum Disorder
This study identifies the urban noise types that trigger auditory hypersensitivity in children and adolescents with autism spectrum disorder, highlighting noise pollution as a factor of social exclusion and distress.
Linking Data-Driven Audiometric Phenotypes to Speech Perception in Quiet and Noise
Data-driven clustering of 70,557 audiograms reveals distinct audiometric configurations that better reflect variability in speech perception, especially in noise, than pure-tone averages, advancing precision audiology and individualized rehabilitation strategies.
Does the efficacy of channel selection in cochlear implant processing strategies depend on the background noise? – An investigation with typical hearing individuals and vocoding
The effect of masker type and cochlear implant speech processing strategy on speech intelligibility is investigated with typical-hearing listeners using vocoding as a simulation of cochlear implant processing.
Neural Processing of Emotional Sounds in Misophonia and Hyperacusis: An fMRI Study
Examining the neural mechanisms underlying misophonia and hyperacusis to understand the sensory and emotional processing differences.
Earable to ‘Adding to the bigger picture of falls and balance assessments’ a qualitative analysis of clinicians perspectives
An in depth qualitative study and patient and public engagement exercise to establish stake-holder priorities for the development of earable devices to support balance and falls assessments.
Auditory and Vestibular Neural Functioning in Individuals with Type II Diabetes Mellitus
Individuals with T2DM show reduced VEMP response prevalence and amplitude, indicating potential vestibulocochlear nerve involvement despite preserved auditory neural processing.
Modulating Auditory Feedback Loops: Does TMS Induce Changes in Efferent Function?
This study shows that Transcranial Magnetic Stimulation, a neuromodulation technique, can alter brain-to-ear feedback by influencing efferent activity, highlighting its potential for investigating auditory processing and informing treatments like tinnitus therapy.
The Third Clarity Prediction Challenge (CPC3)
In the Clarity prediction challenges, we are encouraging the development of novel approaches to the intelligibility prediction of speech processed by hearing aids.
Covert Measurement of Adaptive Directionality in Hearing Aid Microphone Systems
This project assessed a novel method of covertly measuring adaptive directionality in hearing aids using simultaneous, inaudible, direction-dependent intensity modulations applied to diffuse background noise.
Digital Technologies for Community Health Worker-Facilitated Hearing Assessment in Low Resource Settings: A Feasibility Study
This study demonstrates the real-world feasibility of using digital technologies to enable community healthcare workers in low- and middle-income settings to provide ear assessments, hearing tests, and telehealth-supported hearing care.
An Efficient Algorithm for 2AFC Tasks: Monte Carlo Simulation Results of Pure Tone Audiometry
Bayesian Framework Allows Trading between Time and Accuracy for 2AFC Tasks such as PTA.
Profiling Individual Differences in Vertical Localization: Insights from Three Virtual Test Paradigms
This study reveals that normal hearing individuals present with different profiles on vertical sound source localization wherein discrimination remains robust, identification abilities—especially in up-down and front-back localization, underscoring the need for comprehensive virtual spatial hearing assessments.
Biomimetic Cochlear Implant Coding: A Strategy Employing a Cochlear Model and Deep Neural Network
ChatGPT can support hearing self-monitoring by providing expert-level recommendations based on mobile app data.
From data to decisions: AI-supported self-monitoring in hearing health
ChatGPT can support hearing self-monitoring by providing expert-level recommendations based on mobile app data.
AICAS: AI-Powered Clinical Audiometry Simulation Platform Powered by LLaMA Models for Enhanced Audiology Education
AICAS facilitates pure tone audiometry procedure in audiological practical training based on virtual reality and artificial intelligence technologies.
Normative Values for Binaural Auditory Brainstem Evoked Potential in Adults
Reference values were established for ABR-BIC in adults with normal hearing, including latency and amplitude of the Binaural Interaction Component (BIC). The measurements of the latencies and amplitudes of the ABR-BI showed similarities between the right and left ears of normal listeners.
Mapping Cortical Hemodynamics via fNIRS in Bimodal Hearing Children: A Case Study on Optimizing Cortical Development during Transition to Bilateral Implants
Monitoring cortical responses via fNIRS in a child with bimodal hearing transitioning to bilateral cochlear implants revealed significant adaptation to the second implant and highlighted the potential of this technology to monitor auditory brain development in this population, including the importance of measuring rehabilitation outcomes.
Tuning a version of CARFAC Cochlear Model that includes different spontaneous-rate classes of auditory nerve fibers
In this study, we describe our tuning of an inner ear model (CARFAC) that incorporates three different classes of auditory nerve fiber. We propose its use as the basis for novel, personalized models of individuals' hearing losses.
Results of Extended Pressure Tympanometry in Children with Middle Ear Pathology
The extended pressure tympanometry (extended to -600 daPa pressure) in Children with Middle Ear Pathology were investigated and it is seen that extended tympanometry provided more sensitive results.
Machine learning models of hearing demonstrate the limits of attentional selection of speech heard through cochlear implants
Machine learning models trained on simulated auditory nerve representations demonstrate the limits of attentional selection of speech in cocktail party scenario when heard through a cochlear implant.
Improving the Epley manoeuvre – developing an earable device to provide anatomically accurate visualisation of the semicircular canals during the particle repositioning manoeuvre
Improving the Epley Manoeuvre - an anatomical study of the semicircular canals that guided development of an earable and app for the particle repositioning manoeuvre in BPPV.
Improving the Epley manoeuvre – developing an earable device to provide anatomically accurate visualisation of the semicircular canals during the particle repositioning manoeuvre
Improving the Epley Manoeuvre - an anatomical study of the semicircular canals that guided development of an earable and app for the particle repositioning manoeuvre in BPPV.
Cortical benefits of DNN-based noise management in experienced hearing aid users measured using functional near infrared spectroscopy (fNIRS)
This study used functional near-infrared spectroscopy to show that a deep neural network-based noise management program in hearing aids reduced listening effort and brain activation in the left prefrontal cortex over a traditional quiet-listening program while in a lab-controlled noisy environment.
Effect of SNR and Reverberation on Speech Perception of School-age children
Study explored differential advantages of signal-to-noise ratio (SNR), reverberation time, and distractor location for speech perception in noise in school-age children.
Neural health and activation in the human auditory periphery: Insights from a computational model for cochlear implant (CI) and auditory nerve implant (ANI) stimulation
A computational model of the stimulated peripheral auditory system shows that the focused partial‑tripolar versus monopolar threshold difference could be a possible indicator of neural health status. Additionally, the model incorporates a novel intracranial auditory prosthesis, revealing that it elicits lower stimulation thresholds and distinct activation patterns compared to conventional cochlear implants.
A definition of lyric intelligibility by hearing aid users: A focus group study
This study explored how hearing-impaired listeners define lyrics intelligibility in music, providing a working definition for evaluating improvements and developing new signal processing strategies.
Enhancing family interaction and self-efficacy through televideofeedback in pediatric auditory rehabilitation: a quasi-experimental study
This study demonstrates that televideofeedback, combining asynchronous video and synchronous guidance, significantly improves parent-child communication and parental self-efficacy in families of children with hearing loss.
Neural-Behavioural Correlates of Audiovisual Speech-in-Noise Processing at the Fundamental Frequency of Speech
In this study, we investigated early auditory processing at the fundamental frequency of natural speech in terms of audiovisual integration and whether these processes are associated with behavioural measures of speech comprehension.
Pupil dilation tracks ongoing auditory belief updating across perceptual domains
Pupil-linked arousal modulates auditory perceptual belief updating during implicit online perceptual decision-making generalized across the spatial and temporal domain, similar to explicit belief updating processes known from statistical learning.
Assessment of comorbid conditions in school-going children with central auditory processing disorders
Central auditory processing disorder is prevalent in school-going children with academic difficulties
Automated scoring of speech audiometry for cochlear implant listeners using artificial intelligence and flexible grading methods
This project explores the use of Automatic Speech Recognition (ASR) models to transcribe and score open-set speech audiometry responses from cochlear implant users, demonstrating that ASR models can approximate benchmark scores while significantly reducing transcription time.
Exploring the standard Hughston-Westlake protocol in tone audiometry using Gaussian process regression: a virtual patient framework
Intermediate data generated in pure-tone audiometry, by our patient response simulator (Hughson-Westlake protocol), help to understand the probabilistic and continuous representation of a patient's hearing ability derived from Gaussian process inference used in computational audiometry.
An Easy, Language-Agnostic Speech Test for Equitable Hearing Assessment
We developed and validated of an easy, language-agnostic speech test using audiovisual VCV stimuli and AI-driven thresholding, demonstrating its potential for equitable, efficient, and personalized hearing assessment across diverse populations.
Can AI Chatbots Contribute to the Spread of Misinformation in Audiology?
This study evaluated six AI chatbots on their accuracy and consistency in addressing unproven audiological methods, finding generally high performance.