Dear all,
We are pleased to launch our call for abstracts for this year’s Virtual Conference on Computational Audiology, VCCA2024, which is scheduled to take place on the 20th and 21st June.
Abstracts for all invited and contributed presentations must be received no later than Wednesday 1st May. All abstracts will be submitted via the VCCA website. We will be using the Microsoft CMT system as in previous years.
Topics for VCCA2024
Modelling hearing and hearing loss
Field-related measurement and validation, e.g., teleaudiology or remote care
Cognitive and neuro-audiology
Cochlear, brainstem and vestibular implants and post-implant rehabilitation
Speech enhancement for hearing aid wearers, speech source separation and enhancement
Digital tools and big data in hearing care
Accessibility and inclusive design in hearing and audiology
Translating academic research results into clinical practice
Over the counter devices (OTCs) and hearables
Other novel research related to AI and hearing
Other research concerning the clinical impact of the changing landscape of Audiology
Important dates
Wednesday 1st May, abstract deadline
Tuesday 14th May, decisions communicated (acceptance/rejection)
Thursday 6th June, deadline for submission of video recordings and slides
Thursday 20th and Friday 21st June, conference
Target audience
Hearing, Audiology, AI, and Computational researchers all over the world
People working on speech and communication and/or assistive technology
Young scientists are especially encouraged to take part
No participation fee
Several time zones
For more information about VCCA2024, please refer to the dedicated section of our website. Please feel free to forward this announcement to any of your colleagues who might be interested in attending VCCA2024 but might not have received this announcement.
We look forward to receiving your submission.
The VCCA2024 organising committee
Simone Graetzer and Trevor Cox (University of Salford, UK), Jan-Willem Wasmann (Radboud University Medical Center, Netherlands), Jon Barker (University of Sheffield, UK).