Featured talks for the VCCA2020 conference
This post covers the VCCA discussions on hearing devices of the future, and hearing diagnostics and services of the future. Both specifically discussed solutions and ideas for low-income countries.
Here you find the latest news and developments in computational audiology
With great pleasure, we look back at a successful VCCA2021.
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.
Connectivity is transforming the hearing care model significantly.
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.
There is no doubt that the move away from paper-based health records to electronic health records has been important for many reasons.
In the Clarity project, the machine learning approach is applied to the problem of hearing aid processing of speech-in-noise.
Machine learning has various applications in auditory modelling and the approaches combined will transform individual testing and processing in hearing devices.
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.
herethe concept and principles of knowledge discovery from databases are revisited and applied on the scope of two recently published studies about auditory profiling.
In our group at Oldenburg University, we developed virtual audiovisual environments representing everyday-life listening situations.
The University of Michigan School of Public Health has partnered with Apple Inc. to use advances in smart device and wearable technology to evaluate the levels of sound at which iPhone users listen to music and other media, as well as how long and how often they listen.
According to the recent WHO World Report on Hearing, there are approximately 500 million people worldwide with disabling hearing loss, the vast majority of whom receive no treatment. The consequences of this unmet need are dire: hearing loss is a top-5 contributor to the global burden of disability; the leading modifiable risk factor for dementia; and costs nearly 1 trillion dollars per year.
Here you find the latest news and developments in computational audiology
Here you can watch the ISA webinar about Computational Audiology held on 9 December 2020 Computational Audiology from…
a virtual conference about a virtual topic
Ear as Man-Machine interface
The COVID-19 crisis has rapidly and dramatically expanded the global interest in and demand for tele-audiology services, even in highly developed countries with well-established audiological services.
Although cochlear implants (CIs) provide hearing for severely-hearing-impaired or deaf populations, certain hearing abilities remain challenging for CI users.
Auditory modeling is indispensable for precision diagnostics and individualized treatment
The biggest hurdle facing computational audiologists may not be perfecting machine learning methods, but creating the infrastructure- including hardware, data management tools, and software engineering skills- to support this new type of research.
Dynamically masked audiograms achieve accurate true threshold estimates and reduce test time compared to current clinical masking procedures.
