VCCA2021 – Program Highlights
The scientific program of VCCA2021 will combine four keynotes, several featured talks and the submitted scientific contributions to highlight the wide range of world-class research and hot topics in computational audiology. Two special sessions will be held to showcase and discuss applications of Big Data and to exchange knowledge for addressing the global burden of hearing loss.
The program will be organised in three main blocks, to allow for participation from different time zones.
Further updates to the program will follow in due course and we look forward to submissions: Submit your abstract here.
Topic and Bio
Prof Brian CJ Moore
|Time-efficient hearing tests and their use in the fitting of hearing aids|
Brian’s research focuses on hearing and hearing loss, especially the perceptual analysis of complex sounds. He has played a central role in the development of models of masking and of loudness. He has made contributions to the design of hearing aids, especially amplitude compression systems. He also led the development of a method for fitting wide bandwidth hearing aids. Recently he has contributed to the development of efficient diagnostic tests of hearing. He is a Fellow of the Royal Society, the Academy of Medical Sciences, the Acoustical Society of America and the Audio Engineering Society.
Prof Josh McDermott
New Models of Human Hearing via Deep Learning
Josh is a perceptual scientist studying sound, hearing, and music. His research addresses human and machine audition using tools from experimental psychology, engineering, and neuroscience. He is particularly interested in using the gap between human and machine competence to both better understand biological hearing and design better algorithms for analyzing sound.
Prof Mounya Elhilali
Mounya’s research examines sound processing by humans and machines in noisy soundscapes, and investigates reverse engineering intelligent processing of sounds by brain networks with applications to speech and audio technologies and medical systems. Her work examines neural and computational underpinnings of auditory scene analysis and role of attention and context in guiding perception and behavior.
Prof Nicholas Lesica
|Harnessing the power of AI to combat the global burden of hearing loss: opportunities and challenges|
Nick’s research is focused on the study of hearing and hearing loss from the perspective of the neural code — the activity patterns that carry information about sound along the auditory pathway. He uses large-scale electrophysiology in animal models to study how hearing loss distorts the neural code and to develop new ideas for how assistive devices might correct these distortions.
|Dr Simone Graetzer|
University of Salford
|Clarity: machine learning challenges for improving hearing aid processing of speech in noise|
|Dr Maartje Hendrikse|
Marie Curie Fellow
Erasmus MC Rotterdam
|Virtual audiovisual environments for hearing aid evaluation (and fitting)|
|Dr Niels Pontoppidan|
Research Area Manager
Eriksholm Research Centre
|Learning from audiological data collected in the lab and the real world|
|Dr Raul Lopez-Sanchez|
Post-Doc at DTU
Interacoustics Research Unit
|Hearing deficits and auditory profiling: data-driven approaches towards personalized audiology|
|Dr Josef Schlittenlacher|
University of Manchester
|Machine learning for models of auditory perception|
Big data, data sharing and data pooling across countries in audiology
Chaired by Prof. Waldo Nogueira and with presentations by:
- Prof. Michael Marschollek, TU Braunschweig and Hannover Medical School
- Prof. Rick Neitzel, University of Michigan
- Dr. Rob Eikelboom, Ear Science Institute Australia
- Dr. Eugen Kludt, Hannover Medical School
- Dr. Filiep Vanpoucke, Cochlear Technology Centre
Interactive discussions on Addressing the Global Burden of Hearing Loss:
Chaired by Dr. Saima Rajasingam and Dr. Alan Archer-Boyd
- Hearing diagnostics and services of the future – Ensuring wide and equitable access to hearing healthcare
- Hearing devices of the future – Overcoming barriers of stigma, logistics, costs and efficacy