Interested in Becoming a (better) Peer Reviewer?
A presentation with breakout rooms to discuss the peer review process for manuscripts.
Abstracts submitted to VCCA2024
What people with and without hearing loss want from music
This panel will critically discuss the key factors influencing music appreciation for those with and without hearing loss
Can we treat hearing loss better by considering the benefit of seeing a talker?
A panel discussion considering whether we can treat hearing loss better by considering the benefit of seeing a talker
New directions for diagnostic and rehabilitation tools in audiology
With increasing scientific knowledge and improving technologies it is possible to design enjoyable and reliable tests and training tools for hearing device users
Wikimedia Workshop at the Virtual Conference on Computational Audiology
This workshop aims to briefly explore the use of Wikipedia and Wikidata to disseminate scientifically grounded information through an interactive Edit-a-Thon focused on hearing health and audiology-related topics
Future development of AI for enhancing music for listeners with hearing loss
A discussion of the future development of Artificial Intelligence for enhancing music listening for people with hearing loss
State of the art and future developments in hearing aid technology
This talk will be on potentials and challenges in future hearing aid technology, including application of artificial intelligence
Improving access to hearing assistive technology: Needs and best practices
How the World Health Organization (WHO) is supporting countries of Eastern Europe and Central Asia in improving access to hearing assistive technology
How to share software and models via GitHub or other platforms
An online workshop designed to equip participants with the essential skills for sharing code and collaborating efficiently using GitHub. Open to beginners and experienced developers.
The Audiology Learning Disabilities and Autism Project (ALDAP)
How can audiology services maximise hearing assessment in individuals with intellectual disabilities?.
Searching auditory phenotypes beyond audiometry from a large clinical dataset
We present a preliminary analysis on a large clinical auditory dataset collected at Rigshospitalet University Hospital in Copenhagen (Denmark) from 1995 to 2022 containing about 300,000 audiometries including pure-tone audiometry, speech audiometry and acoustic reflex thresholds to search for novel auditory phenotypes using a clustering algorithm based on Gaussian mixture models.
Developing a Novel Hearing Aid Framework Using Machine Learning and a Model of the Impaired Cochlea
This project proposes a hearing aid framework based on Artificial Neural Network (ANN) and Cascade of Asymmetric Resonators with Fast-Acting Compression (CARFAC) model.
Developing novel electrical stimulation strategies for cochlear implant users based on a model of the healthy human cochlea
In this paper, it has been shown that a novel electrical stimulation strategy that is based on healthy cochlea, can produce neurograms that resemble the simulated neural activity of a healthy cochlea more that those produced by a current algorithm used in cochlear implants (ACE).
Using CARFAC-JAX, a fast, differentiable model of the human cochlea, to efficiently fit personalized hearing loss
When implemented in JAX, CARFAC not only displays rapid calculation time but also allows differentiation relative to its parameters. This facilitates the fast and efficient generation of personalized models of hearing impairment.
BEARS (Both Ears) – Virtual Reality Training to Improve Binaural Hearing in Children with Bilateral Cochlear Implants
We have designed and are trialling Virtual Reality games to help children with bilateral cochlear implants hear better.
The SNR of ABR Signals
We show statistical analysis of the auditory brainstem response (ABR) to estimate the latent signal and noise levels, using a regression approach, and show the empirical errors as a function of these levels and the number of trials.
Exploring the barriers and opportunities in alternate modes of hearing service delivery to address in hearing care uptake: a scoping review
This study reviews the barriers and opportunities in direct-to-consumer hearing services, emphasising the need for future research to address gaps in understanding and to enhance accessibility and utilisation of these services across healthcare settings worldwide
Automatic Measurement of Frequency and Decibel Information of Audiological Symbols in Handwritten Audiograms
This study involves calculating and analyzing the frequency and decibel information of audiological symbols on the audiogram using the Python programming language.
Bayesian Models of Speech Understanding for a Clinical Population
We use Bayesian modeling to connect audiology tests such as speech in noise (SPIN) and not only predict missing data, but also reason about the quality of our models.
Examining the Impact of Hearing Impairment on Neural Patterns in Spatial Attentional Filtering
Here we explore how hearing loss affects attentional subprocesses such as target selection and distractor suppression, using EEG to examine alpha modulation patterns in normal-hearing young and elderly individuals, as well as elderly individuals with hearing loss.
Vocal emotion recognition in children with cochlear implants and with hearing aids
Vocal emotion recognition in children with hearing aids and children with cochlear implants improves across childhood and adolescence, albeit at a seemingly slower pace compared to children with normal hearing.
Open-Source Platform for Hearing Research
The Open Hearing platform is an open-source hardware and software platform for advanced hearing research designed to enhance reproducibility while increasing access to high quality research tools for the assessment of auditory function.
Pitch contour perception in speech and music at accelerated speed in hearing-impaired seniors
Pitch contour perception in speech and music at accelerated speed in hearing-impaired seniors.
Behaviour Change in the Wild – Reflections on a Large Scale Campaign Using RNID’s Online Hearing Check
Behaviour change learnings from RNID’s online hearing check, which has been taken by over 390,000 people.
Exploring the Functional Contribution of Alpha Power Lateralization to Auditory Spatial Attention: An EEG-Neurofeedback-Based Study
EEG-Neurofeedback can help people to enhance their auditory spatial attention. Auditory spatial attention is reflected by changes in alpha power in parieto-occipital regions. The corresponding activation patterns can apparently be trained with neurofeedback.
How do variations in cochlear implant map settings alter the spectral representation and the signal dynamics? – A simulation study
Investigating the impact of different cochlear implant map settings on spectral representation and signal dynamics.
In-silico Framework for Benchmarking Optogenetic Hearing Restoration
We constructed a computational framework to expedite the engineering and evaluation of optogenetic cochlear implants, and to understand their potential in enhancing speech understanding in individuals with sensorineural hearing loss.
An Automated Digits-In-Noise Hearing Test Using Automatic Speech Recognition and Text-To-Speech: A Proof-of-Concept Study
The study shows that Digit-in-Noise tests work reasonably well when using Automatic Speech Recognition and Text-to-Speech instead of a user interface and pre-recorded stimuli.
Leveraging Cochlear Implant-Based Spatial Cues for Location-Guided Target Speaker Extraction in Dynamic Environments
We train a compact deep learning model to extract a moving target speaker in the presence of interfering speech and noise, while retaining the spatial information of the target's location in the extracted speech.
Perception of the NAO Robot via Self-Assessments and Behavioural Analyses When Conducting Audiological Tests
Human-robot interaction evaluation when conducting various psychophysical auditory tests showed that using a humanoid robot was enjoyed and favoured more than the standard computer interface.
Using a humanoid robot for assessing vocal emotion recognition
Comparison of the results and perception of a NAO robot and a computer when used for conducting a vocal emotion recognition test with young normal-hearing adults, shows the potential of the robot as an engaging auditory testing interface.
Perception of Voice Cues and Speech-in-Speech by Children with Prelingual Single-Sided Deafness and a Cochlear Implant
Children with single-sided deafness and a cochlear implant (CI) can perceive and use voice cues with their CI, although they do so with less accuracy than children with bilateral CIs.
Non-Intrusive Prediction of Speech Intelligibility and Listening Effort in Real-Time
This work introduces a new real-time usable and non-intrusive version of the Binaural Speech Intelligibility Model (BSIM).
Brain-controlled hearing technology: Setting targets for real-world applications
To assess the requirements of auditory attention decoding (AAD) algorithms for real-world applications of intelligent, brain-controlled hearing technology, we conducted a series of psychoacoustic experiments which quantify the effects of various AAD parameters on user experience for normal hearing and hearing impaired listeners and illustrate that AAD user experience is dependent on the properties of the listening scene as well as the listening context.
Categorization of Environmental Sounds Based on Pitch-Spectral Correlation and Preliminary Findings in Clinical Population
The study categorizes environmental sounds based on frequency and explores the open-set perceptual findings in individuals with normal hearing, sensorineural hearing loss, and auditory neuropathy spectrum disorder in an Indian context.
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Leveraging AI Technology for Enhanced Communication Skill Development in Audiology Education
Use of a natural language processing chatbot to develop masters of audiology interviewing, communication, professional and interpersonal skills
An Analysis of Reasons for Speech-in-Noise Deficits Based on Clinical Use of LiSN-S
Spatial processing disorder, a long-term consequence of otitis media early in life, is an extremely common cause of speech in noise deficits that occur despite hearing thresholds being normal.
Evaluation of a Digits-in-Noise (DIN) test for auditory research and clinical application
We developed and evaluated a DIN test for applications in auditory research and clinical audiology with different listener groups including cochlear implants (CI) users.
Modeling Normal and Impaired Hearing With Artificial Neural Networks Optimized for Ecological Tasks
We modeled normal and impaired auditory perception with an artificial neural network trained to localize and recognize sounds from simulated auditory nerve input.
Neural Network Models of Hearing Clarify Factors Limiting Cochlear Implant Outcomes
Deep neural networks trained on simulated CI-stimulated nerve input clarify the role of impoverished peripheral information following suboptimal strategies and incomplete central plasticity in limiting CI users’ performance for realistic auditory tasks.