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Improving Speech Understanding and Monitoring Health with Hearing Aids Using Artificial Intelligence and Embedded Sensors

This article details ways that machine learning and artificial intelligence technologies are being integrated in modern hearing aids to improve speech understanding in background noise and provide a gateway to overall health and wellness. Discussion focuses on how Starkey incorporates automatic and...

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Detalles Bibliográficos
Autores principales: Fabry, David A., Bhowmik, Achintya K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Thieme Medical Publishers, Inc. 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8463124/
https://www.ncbi.nlm.nih.gov/pubmed/34594091
http://dx.doi.org/10.1055/s-0041-1735136
Descripción
Sumario:This article details ways that machine learning and artificial intelligence technologies are being integrated in modern hearing aids to improve speech understanding in background noise and provide a gateway to overall health and wellness. Discussion focuses on how Starkey incorporates automatic and user-driven optimization of speech intelligibility with onboard hearing aid signal processing and machine learning algorithms, smartphone-based deep neural network processing, and wireless hearing aid accessories. The article will conclude with a review of health and wellness tracking capabilities that are enabled by embedded sensors and artificial intelligence.