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  4. Self-determined hearing through artificial intelligence (AI)
 
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2022
Conference Paper
Title

Self-determined hearing through artificial intelligence (AI)

Abstract
Due to the wide spread of hearing disorders in the industrialized countries, (approx. 14 million cases in Germany) this is one of the most common diseases. 75% of those affected don't use hearing aids, accepting consequences such as unemployment, depression and dementia, which results in high economic damage. Studies have proven that individualized sound adjustment can result in greater satisfaction and participation. In the rapidly growing hearable market (hearable are hearing devices like head phones, head sets and hearing aids) sound personalization is an emerging trend. More and more hearables feature user-adjustable sound. Latest, high-priced developments in the field of hearing aids integrate AI based on self-adjustment of sounds. In this talk I introduce new approaches to integrating AI in hearables for more self-determined hearing. I want to discuss the opportunities of these approaches and limitations that still exist as well as the challenges for future developments.
Author(s)
Sylopp, Peggy
Bruns, Tobias  orcid-logo
Fraunhofer-Institut für Digitale Medientechnologie IDMT  
Mainwork
51st International Congress and Exposition on Noise Control Engineering, INTER-NOISE 2022  
Conference
International Congress and Exposition on Noise Control Engineering 2022  
DOI
10.3397/IN_2022_0167
Language
English
Fraunhofer-Institut für Digitale Medientechnologie IDMT  
Keyword(s)
  • artificial intelligence

  • deep neural networks

  • Hearing aid

  • machine learning

  • product comparison

  • self-adjustment

  • sound balance

  • speech intelligibility

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