Below you can read the papers of the past Conferences
New Music Concepts 2020
Author(s): Hayder K. Fatlawi, Attila Kiss
Abstract: Classification of Music genres has increasing research interest due to the need of the multimedia websites categorization and user profiling. Music signals require many of preprocessing and features extraction operations. In this report, four typical classifiers have been used with 40 extracted features while CNN utilized to classify images that obtained from waveform and Spectrogram representations of music. The results showed that Random Forest classifier had the best performance with 71% validation accuracy.
Keywords: Music Genres, Convolution Neural Network, Random Forest, Decision Tree, Bayesian model