Research on Noise Source Localization and Classification Method Based on U-Net Structure
Aiming at the problem of accurate location and classification of noise sources in noise pollution control,a method based on U-Net structure is proposed.This method can effectively extract multi-scale acoustic features in complex sound field by combining the encoder-decoder architecture of convolutional neural network with jump connection,and realize high-precision noise source location and classification.The experimental results show that this method performs well in different Signal Noise Ratio(SNR)environments,which provides strong technical support for noise pollution control.
NETL
NSTL
万方数据
