Applications of Deep Learning in the Hearing Aid Industry
DOI:
https://doi.org/10.54691/8637zr92Keywords:
Deep Learning; Hearing Aids; Hearing Loss; Neural Networks.Abstract
Hearing loss represents a severe global public health challenge, making the technological innovation of its primary intervention-hearing aids-critically important. Although modern digital hearing aids have achieved substantial progress in sound amplification, effectively improving speech intelligibility in noisy environments remains a major technical bottleneck. In recent years, the rapid advancement of artificial intelligence, particularly deep learning (DL), has presented disruptive and transformative opportunities for otology and the hearing aid industry. This paper systematically reviews and synthesizes the current status and developmental trends of DL across multiple dimensions, including otological medical image analysis, hearing assessment and prediction, core performance enhancement of hearing aids (such as speech enhancement, noise reduction, and smart environmental adaptation), and personalized device manufacturing. Research indicates that DL is profoundly transforming every stage from disease diagnosis and auditory rehabilitation to the device itself with unprecedented breadth and depth, propelling the otology and hearing aid industry toward a more precise, intelligent, and highly personalized future.
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