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 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?
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.
Read our publication on computational audiology
News & Agenda
The AI for Neurotech Lab aims to develop machine learning solutions for brain reading and writing, to restore sensory and cognitive functions. These solutions could include hearing tools for the deaf ...
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.
The Virtual Conference on Computational Audiology 2021 (VCCA 2021) will be soon accepting abstracts on research, innovative projects, software, tools and other applications related to Computational Audiology.
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. An overview of the VCCA2020 conference program is provided here. Further backgrounds can be the virtual goodiebag.
- tobiasherzke, Paul Maanen, frasherloshaj, hendrikkayser, Marc Joliet, genckamil, steffendasenbrock, Giso Grimm, Muhammad Zain Sohail. (March, 2021). HoerTech-gGmbH/openMHA: Release 4.15.0 (Version v4.15.0). Zenodo. https://doi.org/10.5281/zenodo.4650058
- Zinner, Christina, Winkler, Alexandra, Holube, Inga. (March, 2021). Speech Adjusted Noises (SAN) for German speech recognition tests. Zenodo. https://doi.org/10.5281/zenodo.4609783
- Hendrik Kayser, Tobias Herzke, Paul Maanen, Max Zimmermann, Giso Grimm, Volker Hohmann. (March, 2021). Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA). Zenodo. https://doi.org/10.5281/zenodo.4601604
- Raul Sanchez-Lopez, Fereczkowski, Michal, Santurette, Sébastien, Dau, Torsten, Neher, Tobias. (April, 2020). Data and materials from: “Towards Auditory Profile-based Hearing-aid Fitting: Fitting Rationale and Pilot Evaluation” (Version 1.1). Zenodo. https://doi.org/10.5281/zenodo.4421553
- Sanchez-Lopez, Raul, Nielsen, Silje Grini, El-Haj-Ali, Mouhamad, Bianchi, Federica, Fereczkowski, Michal, Cañete, Oscar, Wu, Mengfan, Neher, Tobias, Dau, Torsten, Sébastien Santurette. (December, 2019). Data from “Auditory tests for characterizing hearing deficits: The BEAR test battery” (Version v1.0). Zenodo. https://doi.org/10.5281/zenodo.3459580
- Hohmann, Volker, Herzke, Tobias. (February, 2007). Software for “Frequency analysis and synthesis using a Gammatone filterbank” (Version 1.1). Zenodo. https://doi.org/10.5281/zenodo.2643400
- Josupeit, Angela, Schoenmaker, Esther, van de Par, Steven, Hohmann, Volker. (May, 2018). Raw data for “Sparse periodicity-based auditory features explain human performance in a spatial multi-talker auditory scene analysis task”. Zenodo. https://doi.org/10.5281/zenodo.1246836
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