Music Genre Classifier using Machine Learning

Music is a worldwide language with the ability to evoke emotions and unite people. With the proliferation of digital music platforms and the availability of vast music collections, the need for effective organization and exploration of music has become increasingly important. One crucial aspect of music organization is genre classification, which involves categorizing music tracks into specific genre classes based on their sonic characteristics, musical elements, and stylistic attributes. Most people like listening to music in a certain genre, such as classical, hip-hop, or disco, and they want an easy way to categorize the music based on their mood. People’s lifestyles are becoming increasingly dependent on music, technology, and the internet as these items become more affordable to end users, that requires the development of a more effective and precise model for this categorization. Deep learning is used in the proposed system. Convolutional neural networks (CNN) are used to classify music into various genres. The suggested system’s model is trained using the GTZAN dataset.