Why Computational Audiology ?
The purpose of this online forum is to share knowledge and tools related to computational audiology. The Computational Audiology Network tries to bring experts from different disciplines such as AI and Audiology together in order to stimulate innovations for people with hearing loss anywhere. We publish blog articles about current developments, highlight ongoing projects and publications by research groups, and aim to facilitate discussion. Here is an overview of services for professionals. In addition, the website is used to promote events related to computational audiology and as a central hub to share resources and funding opportunities, and job opportunities for researchers and clinicians. For clinicians, we added this overview of automated audiometry approaches.
Anybody can leave a comment or share content to publish on the forum, after providing a name and valid email address. Comments only appear on the website after approval by the moderators. Content can be rejected if it is not within the scope of the forum or considered disrespectful. The tone of the forum is respectful and pleasantly informal.
VCCA2026
We are happy to announce VCCA2026! Save-the-date for June 25 and 26!
Fill out JOCA survey
We are in the process of building the Journal of Computational Audiology (JOCA), with a start in 2026/27. JOCA will serve as a venue for high-quality research in computational audiology, aligning with the focus areas of VCCA and CAN, as well as related topics of interest. The journal will be diamond open-access: completely free to read and with much lower publication costs than gold open-access journals to facilitate world-wide contributions and access to knowledge. It will be a community-based journal and fully managed and run by the research community under a non-profit model. To prepare the start of JOCA, we would like to gauge interest and collect feedback from the research community:
What is computational audiology?
Computational audiology is the augmentation of traditional hearing health care by digital methods including artificial intelligence and machine learning. Continue reading
Let’s democratize audiology for people with hearing loss worldwide. Promote FAIR data policies and Open Science initiatives in audiology for researchers and clinicians. Create methods to deal with the layers of complexity and enhance interoperability. If we work together with all stakeholders involved collaborate on global standards, on a computational infrastructure, and on policies to increase the transparency and responsible use of AI in audiology we can reduce the global burden of hearing loss.
Become member of the Computational Audiology Network. Join the Computational audiology LinkedIn group via this link. Or join our Slack group.
Add your repository to the Zenodo community for computational audiology via this link.
Read our publication on computational audiology or check out videos below on Computational Audiology TV.
News
VCCA2026 Get in the Spanish mood
Prepare for a local taste
VCCA2026 Registration open!
Reserve your free ticket ASAP!
Wikipedia
Wikipedia entry about Computational Audiology
Episode 1 Bayesian Active Learning in Audiology
CAN Seminar
Join us for the first CAN Seminar with two expert presentations and a discussion among the CAN community. The first CAN seminar focuses on the application and development of Deep Learning methods to enhance speech signals in noisy environments.
VCCA2025
Missed the VCCA2025? All pre-recorded talks are published on our CAN TV channel
Our VCCA2025 pitch videos offer you a “taster” of what’s to come!
Blogs and project about computational audiology
Below you find blogs about computational audiology, but also featured talks, and presentations of on-going projects submitted for the VCCA2021 conference and repositories published in the Zenodo community for computational audiology. Check out the program highlights for the upcoming VCCA2021 (25 June 2021). All abstracts for VCCA2021 are published on the forum. An overview of the VCCA2020 conference program is provided here. Further backgrounds can be found in the virtual goodiebag.
More resources and demonstrations
Blogs and conference proceedings
