Why Computational Audiology ?

The purpose of this online forum is to share knowledge and tools related to computational audiology. We hope to bring experts from different disciplines such as AI and Audiology together in order to stimulate innovations for hearing impaired people anywhere. We publish blog articles about current developments, highlight ongoing projects and publications by research groups, and aim to facilitate discussion. In addition, the website is used to promote events related to computational audiology and as a central hub to share resources and funding opportunities that are useful for researchers and clinicians.

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.

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 persons suffering from 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.

Join the Computational audiology LinkedIn group via this link.

Add your repository to the  Zenodo community for computational audiology via this link.

Read our publication on computational audiology or check out videos on our youtube Channel

News & Agenda

Quarterly Update Q1

Call for abstracts VCCA2021 is open! Winner Computational audiology prize announced, and check out recent publications.

Research Topic: Digital Hearing Healthcare

The Frontiers Research Topic “Digital Hearing Healthcare,” edited by Qinglin Meng, Jing Chen, Changxin Zhang, Dennis Barbour and Fan-Gang Zeng, is now open for submissions.

VCCA2021 Registration

At the Virtual Conference on Computational Audiology 2021 (VCCA 2021) you can follow new developments related to research, innovative projects, software, tools and other applications related to Computational Audiology. Registration open soon via this link

VCCA2021 Abstracts

All abstracts are published on the forum. You can find them here.

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 VCCA2020 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

AI-assisted Diagnosis for Middle Ear Pathologies Read more
The biggest hurdle facing computational audiologists may not be perfecting machine learning methods, but creating the infrastructure- including hardware, data Read more
Remote Audiology Delivery Care COVID-19 Read more
Modeling speech perception in hidden hearing loss using stochastically undersampled neuronal firing patterns Read more
Speech perception by hearing aid (HA) users has been evaluated in a database that includes up to 45 hours of Read more
The U.S. National Hearing Test has now been taken by over 150,000 people and this extensive database provides reliable estimates Read more
Detection of current shunts with a ladder-network model Read more
Test-retest analysis of aggregated audiometry testing data using Jacoti Hearing Center self-testing application Read more
Towards the development of a diagnostic supporting tool in audiology, the Common Audiological Functional Parameters (CAFPAs) were shown to be Read more

The ideas for this website have been published here
,

Bibliography:

Wasmann, J.-W. A., & Barbour, D. L. (2021). Emerging Hearing Assessment Technologies for Patient Care. The Hearing Journal, 74(3), 44. https://doi.org/10.1097/01.HJ.0000737596.12888.22
Barbour, D. L., & Wasmann, J.-W. A. (2021). Performance and Potential of Machine Learning Audiometry. The Hearing Journal, 74(3), 40. https://doi.org/10.1097/01.HJ.0000737592.24476.88
Wasmann, J.-W. A., Lanting, C. P., Huinck, W. J., Mylanus, E. A. M., van der Laak, J. W. M., Govaerts, P. J., Swanepoel, D. W., Moore, D. R., & Barbour, D. L. (2021). Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age. Ear and Hearing, Publish Ahead of Print. https://doi.org/10.1097/AUD.0000000000001041