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

Q2 Health Professions
Seminars in Hearing Pub Date : 2021-08-01 Epub Date: 2021-09-24 DOI:10.1055/s-0041-1735136
David A Fabry, Achintya K Bhowmik
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引用次数: 5

Abstract

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.

Abstract Image

Abstract Image

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利用人工智能和嵌入式传感器改善助听器的语音理解和健康监测。
本文详细介绍了将机器学习和人工智能技术集成到现代助听器中的方法,以提高对背景噪音的语音理解,并提供全面健康和健康的门户。讨论的重点是Starkey如何将自动和用户驱动的语音清晰度优化与板载助听器信号处理和机器学习算法、基于智能手机的深度神经网络处理和无线助听器配件结合起来。本文最后将回顾嵌入式传感器和人工智能支持的健康和健康跟踪功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Seminars in Hearing
Seminars in Hearing Health Professions-Speech and Hearing
CiteScore
3.30
自引率
0.00%
发文量
29
期刊介绍: Seminars in Hearing is a quarterly review journal that publishes topic-specific issues in the field of audiology including areas such as hearing loss, auditory disorders and psychoacoustics. The journal presents the latest clinical data, new screening and assessment techniques, along with suggestions for improving patient care in a concise and readable forum. Technological advances with regards to new auditory devices are also featured. The journal"s content is an ideal reference for both the practicing audiologist as well as an excellent educational tool for students who require the latest information on emerging techniques and areas of interest in the field.
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