Deep Learning for Music Genre Recognition
Arpita Roy, Naveen Ippili, D. Kumar Teja · 2023
A convolutional intermittent neural network (CRNN) for labeling music is presented in this paper. Convolutional neural networks (CNNs) are used by CRNNs to extract nearby elements, while recurrent neural networks (RNNs) are used to briefly summarize the extracted highlights. We compare two CNN structures and CRNN that have been applied to music labeling, controlling the number of parameters presented and the preparation time for each test. Overall, our research revealed that CRNNs perform well in terms of parameter quantity and preparation time, proving the usefulness of their crossbreed structure for highlight extraction and highlight summarization in music.