Our Mission

The purpose of this website is to serve as a hub for knowledge and tools related to computational audiology. As the Computational Audiology Network (CAN), our mission is to act as a global network dedicated to advancing hearing healthcare through the application of data science, computational methods, and artificial intelligence (AI) in hearing loss research and technology. The mission of CAN is to bring together academics, clinicians, industry partners, policymakers, and patients to foster innovation, promote accessible hearing healthcare solutions, and improve the quality of life for individuals with hearing loss.

CAN’s objectives encompass:

  1. Digital Space: CAN shall provide a digital platform serving as a knowledge and software hub. This platform shall enable dissemination of resources such as datasets, machine learning models, and software applications, fostering collaborations across institutions.
  2. Events: CAN shall facilitate events, such as conferences (e.g., VCCA) or courses, to provide a platform for scientists, clinicians, developers, and industry professionals to share advancements, foster discussions, learn, and promote collaboration within the field of computational audiology and between computational audiology and related fields.
  3. Alliances: CAN shall actively seek collaboration that transcends traditional boundaries, bridging academia, industry and other sectors, and clinical practice.
  4. Harmonization: CAN shall actively work towards harmonizing laws, practices, and standards related to hearing healthcare across countries.
  5. Fundraising: CAN shall pursue grants from various sources, including industrial, private donations, and philanthropic gifts without attached conditions, to support initiatives within the computational audiology community.
  6. Community Engagement: CAN shall present research outcomes and insights in easily understandable formats, such as blog posts, to engage and inform the general population. The aim is to raise awareness, identify patient needs, and involve the broader community in computational audiology efforts.

We achieve this by sharing blog articles on current developments, highlighting ongoing projects and research publications by various research groups, and fostering vibrant discussions. CAN is committed to facilitating collaboration and knowledge exchange within the field of computational audiology. We also use this platform to promote events, including the renowned Virtual Conference on Computational Audiology (VCCA) series.

We welcome active participation from individuals across the globe. Anyone can leave a comment or contribute content to be published on our forum, provided they provide a name and a valid email address. Please note that comments will only appear on the website after approval by our moderators. Content may be rejected if it falls outside the scope of the forum or is considered disrespectful. We maintain a respectful and pleasantly informal tone within the forum, encouraging open dialogue and shared insights.

ISA

The International Society of Audiology (ISA) is the leading International Audiology Association that provides a dynamic platform to access best practice frameworks including the most recent research and case studies in Global Hearing Healthcare. The ISA has strong affiliations with local audiology associations across the globe with a powerful network of accomplished world authorities and professionals that are passionate about sharing their knowledge and learning for the benefit of people with hearing loss.

The ISA has been in a relationship with the World Health Organization since 2014 and supports global development and success in International Hearing Healthcare. The ISA signed a memorandum of understanding with the Computational Audiology Network to form a special interest group (SIG) within the ISA.

WHF

CAN is a proud member of the World Hearing Forum (WHF), an initiative by the World Health Organization. CAN is dedicated to enhancing hearing healthcare through innovative computational and AI technologies. Our expertise in computational audiology positions us to contribute significantly to combating hearing loss worldwide, in line with the World Health Assembly’s objectives. As part of the Forum, CAN is committed to collaborating on global efforts to prevent hearing loss and ensure those affected receive timely and effective care. In the coming three year we hope together with our members to make contributions to the WHF’s activities including Make Listening Safe and supporting the Changemakers active within WHF.

Governance

In 2023, we formally established the Computational Audiology Network (CAN) as an international network to advance hearing healthcare through the application of data science, computational methods, and artificial intelligence (AI) in hearing research and technology. We have established a framework (CAN-SIG) to manage CAN membership and have recently finalized an agreement with the International Society of Audiology (ISA) to streamline our administrative and financial operations through their systems. By establishing a formal organization we strive to increase our virtual and physical impact. We will be able to better organize our financial and legal affairs and collaborate with established societies such as the International Society of Audiology (ISA), the American Auditory Society (AAS) as well as other stakeholders.

The CAN Executive Board has the responsibility for the governance and management of CAN. The Executive Board provides an annual progress report, including plans for the forthcoming year. Our eight executive board members have been preparing a workplan for 2024. Do you have ideas or wish to contribute to our objectives? If so, please email executiveboard@computationalaudiology.com or talk to one of us.

For more detailed information about our network and its functioning, please refer to our bylaws.

The ISA / CAN Special Interest Group (CAN-SIG)

The ISA signed a memorandum of understanding with the Computational Audiology Network to form a special interest group (SIG) within the ISA. CAN followers that meet the CAN membership requirements are encouraged to join our SIG.We’re looking for active, dedicated members — be they professionals or students from fields relevant to computational audiology (e.g audiology, AI, engineering, etc). Ideas for new initiatives or ways to interact with peers are welcome and are appreciated.We’re proud of the diversity and international representation at our conferences, reflecting the varied challenges and resources available worldwide. This diversity is crucial for developing new tools for people with hearing loss.

Our SIG is committed to inclusivity, welcoming scientists, clinicians, engineers, developers, and all who are eager to contribute to this vibrant field. We look forward to your participation in CAN – SIG, where together we can learn and collectively shape the future of hearing healthcare.

Applying for Membership

We hope you are interested in joining us as a CAN member via the CAN – SIG! In 2024 we will be recruiting active members, who are professionals or students in a field related to computational audiology. Membership is inclusive, open for scientists, clinicians, engineers & developers.

Apply to become a member of the CAN – SIG

If you are already a member of the ISA, simply send a mail to gd@e2.co.za stating – please add me to the CAN – SIG.If you are not a member of the ISA, visit the ISA website select the membership navigation tab, complete the online application form as a full member. Select the CAN interest group during the application process.

Cost:

  • Full members pay $75 USD for 12 months and $110 USD for 24 months.
  • Students including PhD students join for free.
  • Do you need support for paying the membership fee? please contact (president@computationalaudiology.com )

Please reach out if you have any questions via president@computationalaudiology.com or by talking to one of our board members. Via the newly created CAN – SIG mailing list we will send you further updates about developments.

 

Executive Board 

  Bio & Motivation
Seba Ausili, PhD
University of Miami
Miami, United States 
Seba is a Research Scientist at the University of Miami’s Ear Institute. With a background in Acoustics and a PhD in Neuroscience, he delves into spatial multisensory integration, investigating spatial awareness in individuals with sensory impairments. His research also focuses on cochlear health post-cochlear implantation, leveraging innovative techniques and telemedicine for patient-centered and personalized care.
Karina De Sousa, PhD – General Secretary
University of Pretoria
Pretoria, South Africa 
Karina is a postdoctoral research fellow at the University of Pretoria in South Africa. She has a background in speech recognition tests as a screening tool to detect and classify types of hearing loss. Her more current research is translational and centers on mHealth and self-fitting hearing aids to improve access to hearing care. 
Hector Gabriel Corrale de Matos, BSc – Web developer
Bauru School of Dentistry – University of São Paulo
São Paulo, Brazil 
Hector is a master student in Human Communication Processes and Disorders at the University of São Paulo in Brazil. He is a Wikimedian and engaged in translational international research on the use of Wikimedia projects as an active learning methodology and crowdsourcing tool in hearing health. Hector also served as a Planetary Health Alliance Campus Ambassador focusing on the hearing in the context of the climate crisis.
Tobias Goehring, PhD 
University of Cambridge
Cambridge, United Kingdom 
Tobias’ research is on improving speech-in-noise perception with hearing devices by using technology and engineering tools (eg machine learning, multi-sensory integration, EEG). He is interested in computational methods for on-device processing and patient-specific optimisation, data analysis for outcome assessment and prediction, and overcoming barriers to access hearing care globally.
Jessica Monaghan, PhD 
National Acoustic Laboratories
Sydney, Australia 
 Jessica has a background in Physics and Engineering with expertise in automatic speech recognition, psychoacoustics, and noise-reduction techniques for hearing devices. Her current research at the National Acoustic Laboratories centers on leveraging machine learning and technology to enhance diagnosis and communication for people with hearing loss.
Simone Graetzer, PhD
University of Salford
Greater Manchester, United Kingdom 
Simone is a Senior Research Fellow in the Acoustics Research Group at the University of Salford in the U.K. She’s currently working on two UK Research and Innovation grants concerning hearing aid signal processing for speech and music (Clarity and Cadenza). Her previous work is mainly in Speech Acoustics, speech science and Psychoacoustics. She leads the Early Career section of the UK Acoustics Network and is on the board of the ISCA Speech and Language Processing for Assistive Technologies special interest group (SIG-SLPAT). She has particular interests in advocating for early career and/or female acousticians and in Equality, Diversity and Inclusion.
 Nikki Philpott, MSc – Treasurer
Radboud University Medical Center Nijmegen
Nijmegen, The Netherlands
Nikki is a final year PhD candidate at Radboud university medical center. With a background in Audiology, her current research focuses on data-driven auditory training programs and prediction of speech perception in cochlear implant users. She is passionate about person-centered care and empowering CI users with individualized care and home-based testing and rehabilitation solutions.
Jan-Willem Wasmann, MSc – President
Radboud University Medical Center Nijmegen
Nijmegen, The Netherlands 
Jan-Willem’s recent work includes data driven CI fitting techniques, remote care and AI chatbots in hearing healthcare. He would like to stimulate the creation of a network of more (hybrid) AI & Audiology experts and hopes CAN could lead to novel projects.

 

 

Advisory Board

Dennis Barbour, PhD 
Washington University in St. Louis
St. Louis, United States

Deniz Başkent, PhD
University of Groningen & University Medical Center Groningen
Groningen, The Netherlands

Deborah Viviane Ferrari, PhD
University of São Paulo – Bauru Campus
São Paulo, Brazil

Volker Hohmann, PhD 
University of Oldenburg
Oldenburg, Germany

Liepollo Ntlhakana, PhD
University of the Witwatersrand
City of Johannesburg, South Africa

De Wet Swanepoel, PhD
University of Pretoria
Pretoria, South Africa

Fan-Gang Zeng, PhD 
University of California
Irvine, United States

 

Editors

Mareike Buhl, PhD
University of Oldenburg
Oldenburg, Germany

Karina De Sousa, PhD
University of Pretoria
Pretoria, South Africa

Tobias Goehring, PhD 
University of Cambridge
Cambridge, United Kingdom

Jessica Monaghan, PhD 
National Acoustic Laboratories
Sydney, Australia

Anna Warzybok, PhD
University of Oldenburg
Oldenburg, Germany

 Kaye Xianhui Wang, PhD
University of California
Irvine, United States

Jan-Willem Wasmann, MSc
Radboud Medical Center Nijmegen
Nijmegen, The Netherlands

 

Contributors

François Guérit, PhD
University of Cambridge
Cambridge, United Kingdom

Elle O’Brien, PhD
University of Michigan School of Information
Michigan, United States

Sigrid Polspoel, MSc
Amsterdam UMC and Vrije Universiteit Amsterdam
Amsterdam, The Netherlands

Leontien Pragt, MSc
Radboud Medical Center Nijmegen
Nijmegen, The Netherlands

Webdesigner

Iris Cedée
Iris Digitalis

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