Music Genre Classification using Deep Learning
Mitt Shah, Nandit Pujara, Kaushil Mangaroliya, Lata Gohil, Tarjni Vyas, Sheshang Degadwala · 2022 6th International Conference on Computing Methodologies and Communication (ICCMC) · 2022
One of the fascinating subjects in the area of Music Information Retrieval (MIR) is the classification of music as it is played into different genres. Machine learning is used in this analysis. To predict the genre of the audio signal, models such as Support Vector Machines (SVM), Random Forests, XGB (eXtreme Gradient Boosting), and Convolutional Neural Networks (CNN) are used. The GTZAN dataset was used for model training and testing. Machine learning and deep learning models each had their own set of features. A comparison analysis is proposed between these models, demonstrating that CNN outperforms machine learning models.