A Study of a new wavelet neural network for deep learning

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As development of smart devices progresses, voice control is becoming more and more important. The first step of voice control is to separate noise and the voice. In recent years, as the data size is increasing, deep learning has become a very useful tool in data processing. The use of deep learning to separate signals is becoming increasingly popular. However, deep learning has the disadvantage that the output of the pre-processing part used in the multi-layer neural network suffers from oscillation when applied to a regression problem. In this study, a new wavelet neural network has been proposed to improve this phenomena. The wavelet neural network applies a discrete wavelet transform in the hidden layer of the traditional multi-layer neural network. In our simulation experiments, encouraging results were obtained by the proposed method.

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