Classification of Harmful Noise Signals for Hearing Aid Applications using Spectrogram Images and Convolutional Neural Networks

Abstract
Hearing aids are important for impaired people suffering from hearing loss. Generally, digital hearing aids are preferred since digital systems are flexible and programmable for different hearing loss conditions. Hearing aid applications usually use low-pass filters, adaptive filters and spectral analysis to remove harmful noise and amplify incoming speech signals. However, existing methods in digital hearing aids may not remove all harmful...
Paper Details
Title
Classification of Harmful Noise Signals for Hearing Aid Applications using Spectrogram Images and Convolutional Neural Networks
Published Date
Oct 22, 2020
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