Exploring the usage of AI in hearing aids to improve their functionality

Hearing loss currently affects around 430 million people worldwide and this number is expected to climb even higher in the future, reaching up to 700 million in 2050. With current hearing aid technology falling short in addressing complex auditory challenges, artificial intelligence (AI), particularly through machine learning, offers promising solutions to improve human speech clarity. By utilizing machine learning’s pattern recognition capabilities in complex noise environments (environments with multiple sounds), AI can minimize noise, which improves speech clarity. Additionally, AI has the potential to optimize hearing aids to fit a user’s sound profile, leading to better speech enhancement. Its potential to reduce the need for frequent audiologist visits could also significantly lower costs. In this study, a framework for how AI can be utilized to mitigate a complex noise environment is explored. These feasible advancements make AI a potential catalyst in revolutionizing the field of hearing.

Authors

Publication Details

Journal
Scholarly review .
Published
2025-06-02
DOI
https://doi.org/10.70121/001c.139034
Citations
1
Primary Topic
Technology and Human Factors in Education and Health
Type
article
Field-Weighted Citation Impact
1.88
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article

Exploring the usage of AI in hearing aids to improve their functionality

C.R. Zou
1 citations
Scholarly review .
Technology and Human Factors in Education and Health
1.88
article

Exploring the usage of AI in hearing aids to improve their functionality

C.R. Zou
article en
1 citations

Abstract

Hearing loss currently affects around 430 million people worldwide and this number is expected to climb even higher in the future, reaching up to 700 million in 2050. With current hearing aid technology falling short in addressing complex auditory challenges, artificial intelligence (AI), particularly through machine learning, offers promising solutions to improve human speech clarity. By utilizing machine learning’s pattern recognition capabilities in complex noise environments (environments with multiple sounds), AI can minimize noise, which improves speech clarity. Additionally, AI has the potential to optimize hearing aids to fit a user’s sound profile, leading to better speech enhancement. Its potential to reduce the need for frequent audiologist visits could also significantly lower costs. In this study, a framework for how AI can be utilized to mitigate a complex noise environment is explored. These feasible advancements make AI a potential catalyst in revolutionizing the field of hearing.

Scholarly review .Vol. Summer 2025(13)
Openalex Percentile: Top 15%
Technology and Human Factors in Education and Health
1.88
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