Bottom-up broadcast neural network for music genre classification

• Published in: Multimedia tools and applications Vol. 80; no. 5; pp. 7313 - 7331
• Main Authors: Liu, Caifeng, Feng, Lin, Liu, Guochao, Wang, Huibing, Liu, Shenglan
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2021; Springer Nature B.V
• Subjects: Artificial neural networks; Audio data; Classification; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Datasets; Decision making; Electronic devices; Genre; Multimedia Information Systems; Music; Neural networks; Object recognition; Special Purpose and Application-Based Systems; Spectrograms; Music genre classification; CNN; Spectrogram

Music genre classification based on visual representation has been successfully explored over the last years. Recently, there has been increasing interest in attempting convolutional neural networks (CNNs) to achieve the task. However, most of the existing methods employ the mature CNN structures pr...