id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-20786	Hong, Xinyu	Comparison Among AlexNet, GoogLeNet and ResNet-18 in Autiomatic Music Genre Classification	2024	5	.pdf	application/pdf	2546	143	49	During that period, the limited popularity of deep learning resulted in the phenomenon which a significant number of researchers opted for machine learning techniques to classify music genres. [5] Recently, the steps of applying convolutional neural network to classify music genres can be concluded generally into three parts: making mel spectrograms, data augmentation and model training.	cache/ajst-20786.pdf	txt/ajst-20786.txt