INTRODUCTION

 

Downloading and purchasing music from online music collections has become a part of the daily life of probably a large number of people in the world. The users often formulate their preferences in terms of genre, such as hip hop or pop or disco. However, most of the tracks now available are not automatically classified to a genre. Given a huge size of existing collections, automatic genre classification is important for organization, search, retrieval, and recommendation of music. 

Nowadays many music applications such as Spotify,ganna,saavan provides these feature of sorting the songs according to there genres.

                                                                     Feature of Spotify        

Music Genre classification is very important in today’s world due to rapid growth in music tracks, both online and offline. In order to have better access to these we need to index them accordingly. Automatic music genre classification is important to obtain music from a large collection. Most of the current music genre classification techniques uses machine learning techniques.

In this blog we are going to propose and develop Deep learning technique to Classify the music into its genre. We are going to use convolutional neural networks for the feature extraction and training of music on an open source dataset of music genres -GTZAN

So stay tune for the Upcoming post on the detail explaination of dataset and classification  techniques. Also Like,share and comment if you find this blog helpfull.