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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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
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author Fabry, David A.
Bhowmik, Achintya K.
author_facet Fabry, David A.
Bhowmik, Achintya K.
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description 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.
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spelling pubmed-84631242021-09-29 Improving Speech Understanding and Monitoring Health with Hearing Aids Using Artificial Intelligence and Embedded Sensors Fabry, David A. Bhowmik, Achintya K. Semin Hear 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. Thieme Medical Publishers, Inc. 2021-08 2021-09-24 /pmc/articles/PMC8463124/ /pubmed/34594091 http://dx.doi.org/10.1055/s-0041-1735136 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Fabry, David A.
Bhowmik, Achintya K.
Improving Speech Understanding and Monitoring Health with Hearing Aids Using Artificial Intelligence and Embedded Sensors
title Improving Speech Understanding and Monitoring Health with Hearing Aids Using Artificial Intelligence and Embedded Sensors
title_full Improving Speech Understanding and Monitoring Health with Hearing Aids Using Artificial Intelligence and Embedded Sensors
title_fullStr Improving Speech Understanding and Monitoring Health with Hearing Aids Using Artificial Intelligence and Embedded Sensors
title_full_unstemmed Improving Speech Understanding and Monitoring Health with Hearing Aids Using Artificial Intelligence and Embedded Sensors
title_short Improving Speech Understanding and Monitoring Health with Hearing Aids Using Artificial Intelligence and Embedded Sensors
title_sort improving speech understanding and monitoring health with hearing aids using artificial intelligence and embedded sensors
url 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
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