Environmental Sound Classification Using CNN Based on Mel-spectogram

In recent years, with the development of deep learning technology, the combination of deep neural network and audio data processing and analysis has become a new research hotspot, especially the representative convolutional neural network has achieved significant results on sound classification tasks. Therefore, in this paper, we propose a CNN structure, combined with extracting Mel-spectogram features and using data enhancement to increase the training data, and finally compare the classification accuracy under different CNN networks, and the experiments show that the method in this paper has a higher accuracy.