Intelligent Recognition of Aircraft Type Using Audio Feature

Aiming at the shortcomings of existing aircraft type recognition methods, an intelligent type recognition method based on audio features is proposed. The improved self-attention mechanism algorithm is used to intelligently recognize and classify aircraft. In the existing self-attention mechanism, three weight matrices are obtained through linear transformation, which is not conducive to the model learning complex audio features. In the existing self-attention mechanism, non-linear factors are introduced into the network model and a non-linear self-attention mechanism algorithm is proposed. Using the collected 9 types of aircraft audio data, after a series of aircraft audio features, it is used as the data set of the algorithm, and the recognition ability of the algorithm is verified through experiments.