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Job ad: Postdoc within contextual modeling of hearing aid user preferences
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Postdoc within contextual modeling of hearing aid user preferences
The introduction of internet connected hearing aids constitutes a paradigm shift as traditional signal processing can now be complemented with AI neural network models implemented on a smartphone. This facilitates learning the audiological preferences of hearing-impaired users in real life listening scenarios. Combining sound environment data with natural language understanding AI, hearing aids can be transformed into digital voice assistants, which through user dialogues are able to learn the optimal hearing aid settings dependent on the context.
Based on research collaboration with Cognitive Systems Group, DTU Compute, the aim is to apply AI to not only enhance user experience by personalizing each hearing aid, but also radically improve treatment of patients by learning audiological insights from securely shared healthcare data crowdsourced from large amounts of users.
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