At present,most deep learning models are difficult to deal with the classification of bird sound under complex background noise.Because bird sound has the continuity characteristic in time domain and high-low characteristic in frequency domain,a fusion model of homologous spectrogram features was proposed for bird sound classification under complex background noise.Firstly,Convolutional Neural Network(CNN)was used to extract Mel-spectrogram features of bird sound.Then,the time domain and frequency domain dimensions of the same Mel-spectrogram feature were compressed to 1 by specific convolutio...
