Environmental Noise Classification Using Convolutional Neural Networks with Input Transform for Hearing Aids

Environmental Noise Classification Using Convolutional Neural Networks with Input Transform for Hearing Aids

Hearing aids are essential for people with hearing loss, and noise estimation and classification are some of the most important technologies used in devices. This paper presents an environmental noise classification algorithm for hearing aids that uses convolutional neural networks (CNNs) and image...

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Bibliographic Details
Main Authors: Gyuseok Park, Sangmin Lee
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:International Journal of Environmental Research and Public Health
Subjects:
hearing loss
hearing aids
environmental noise
deep learning
convolutional neural networks
Online Access:https://www.mdpi.com/1660-4601/17/7/2270

Internet

https://www.mdpi.com/1660-4601/17/7/2270

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