Music Genre Classification Systems – A Computational Approach

Music Genre Classification Systems – A Computational Approach

Srishti Gupta, Srishti Miglani, Dr. S.C.Gupta

Abstract

A music genre is a conventional category that identifies some pieces  of music as belonging to a shared tradition or set of conventions. It is to be distinguished from musical form and musical style. Music can be divided into different genres in many different ways. The popular music genres are Pop, Hip-Hop, Rock, Jazz, Blues, Country, and Metal. Categorizing music files according to their genre is a challenging task in the area of music information retrieval (MIR). Automatic music genre classification is important to obtain music from a large collection. It finds applications in the real world in various fields like automatic tagging of an unknown piece of music (useful for apps like Saavan, Wynk, etc.). Companies nowadays use music classification, either to be able to place recommendations to their customers or simply as a product. Determining music genres is the first step in the process of music recommendation. Most of the current music genre classification techniques use machine learning techniques.