An Artificial Intelligence Hearing Aid Based on Two-level Neural Network

Hearing aids have become an indispensable part of the lives of some hearing-impaired people. Traditional hearing aids will be adjusted according to the personal hearing curve and allowing patients to avoid noise-induced harm. However, there is no sound classification or intelligent noise reduction, which cannot meet the higher demand for hearing aids. This paper designed a hearing aid based on a two-level neural network, and the Urbansound8K data set was used to train the neural network. It can simulate the human auditory attention mechanism and intelligently control the output volume. At the same time, the noise reduction model is used to perform corresponding noise reduction processing on different speech streams. Experimental results show that the hearing aid can differentially amplify various sounds in different scenes. The noise part of the sound heard by the user will be suppressed to a certain extent, which can improve the comfort of long-term wearing.