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Read more about the article Quarterly update Q11

Quarterly update Q11

In this edition, we are introducing the VCCA2024 organizers, sharing our VCCA2024 survey, providing access to the VCCA2023 public recordings and sharing the VCCA2023 conference report. Computational Audiology is now present on Wikipedia in Brazilian Portuguese, Dutch, and English. Please consider joining the ICASSP Machine Learning Challenge to improve music for those with a hearing loss, and don’t forget the final manuscript call for Trends in Digital Hearing Health and Computational Audiology.

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Read more about the article AI’s Latest Frontier: Transforming Hearing Healthcare
DALL·E 2023-02-08 09.13.50 - A print in the style of M.C. Escher depicting two man and ChatGPT an AI-chatbot writing a paper collaboratively

AI’s Latest Frontier: Transforming Hearing Healthcare

We used ChatGPT a AI system that can help writing text and code or answer questions but that cannot take responsibility in a way a human writer can do.

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Read more about the article Podcast Episode 3: A holistic perspective on hearing technology

Podcast Episode 3: A holistic perspective on hearing technology

n this episode, Brent Edwards from NAL and Stefan Launer from Sonova take us through their careers and share lessons and perspectives on the development of hearing technology. We discuss how the development of technology becomes more holistic, design thinking,  standardization, and what's needed to get to new service models and innovation.

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Twenty-five years of clinical data collection: from a single site relational database towards multi-site interoperability

Over the years Hannover Medical School has build a comprehensive data pool for patients with implantable hearing devices, which serves as a basis for answering various research questions and big data analyses.

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The HiGHmed approach for FAIR use of clinical and research data with openEHR – Focusing on interoperability

Patient-centric medical research benefits from the sharing and integration of complex and diverse data from different sources such as care, clinical research, and novel emerging data types.

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Learning from audiological data collected in the lab and the real world

Research in the last decades with the audiological data led to many important discoveries, and today, as the area of data emerges the focus turns to maturing those discoveries along the dimensions of coverage, applicability, bias, and privacy into solutions that improve the lives for people with hearing problems.

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