Deep learning

Pattern recognition (psychology)

Musical

Support vector machine

Online machine learning

Machine learning

Visual arts

Random forest

Artificial intelligence

Set (abstract data type)

Programming language

Music information retrieval

Computer science

Boosting (machine learning)

Artificial neural network

Gradient boosting

Convolutional neural network

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.

Music Genre Classification using Deep Learning