One of them, K-Nearest Neighbour (KNN), is a technique that has been reportedly successful in categorizing music into different genres. We will be discussing the three most common techniques of music genre recognition through Machine Learning. While music genres have been known to the world for decades, machines have been able to work along the lines of music genre classification in the contemporary world where every other person is listening to music.Īs computers and smartphones have become the new music equipment, Machine Learning has facilitated the classification of music genres using several techniques. Music Genre Classification using Machine Learning is a comparatively newer concept that has emerged on the surface in recent times. Learn more about this through Machine Learning Tutorial) Based on data that is entered into the machines, Machine Learning helps computers to build interpretive patterns and build analytical models automatically. Before understanding music genre classification, we shall first look into the definition of machine learning.Ī technology of Artificial Intelligence, Machine Learning is a concept wherein computers or machines learn from information (data) fed to them. Music Genre Classification using Machine Learning is what we will be discussing in this segment. Have you ever wondered how machines generate music genres? Ever thought about the technology that makes your smartphone application produce songs when you enter pop songs? The answer to all these questions is Machine Learning models. Music Genre Classification vis-à-vis Machine Learning I see my life in terms of music.” ― Albert Einsteinīut, before learning how it is done, let us first discover the top 10 popular music genres prevalent in the contemporary music industry. “If I were not a physicist, I would probably be a musician. Yet, technology has made this process automated and today millions of music applications are classifying music in different genres within a span of seconds. That said, this blog will be throwing light on the top 10 music genres and the way they are classified with the help of Machine Learning and Artificial Intelligence.Ĭlassifying music genres is a complicated task. While it takes only a click for a listener to switch from Jazz music to Rap, there is certainly much more beneath the surface that fuels our love for music. In recent times, music genre classification has become a very popular concept as more and more genres are emerging around the world.įrom K-Pop to Jazz, music lovers rely on the technology of music genre classification and are able to listen to songs as per their preferences. Music Genre Classification or classification of music into different categories or genres is a concept that helps the masses to differentiate between 2 genres based on their composition or the beats they withhold. While music is altogether a melody that connects all hearts in this world, there are further classifications of music that bind together music lovers and keep the melody going on. Ever since the melody of instruments has fallen on the ears of humans, it has implanted the seeds of emotions that are otherwise hard to achieve. Music has been known to humans for times immemorial. “Music expresses that which cannot be said and on which it is impossible to be silent. -Victor Hugo