Survey on Features and Classification Techniques in Music Genre Classification
Swati A. Patil · Helix · 2018
Music is an integral part of society and even human being.A human being listen music to make a mood and change a mood.He listens music in sad and happy moments even when he is getting bored.In early days only folk music or local music is the way for this purpose.But in digital era or due to entry of various cultures in the society people are listening music from various parts of the country or world.The choice of listening the music varies from people to people from mood to mood.Sometimes we want to listen silent music or rock or pop etc. and sometimes it depends on the occasions also.As far as mood is concern people listen sad or happy or romantic music to make the mood or change the mood.This type of classification of songs is called genres.Genre classification is one of the prominent fields in MIR.Most of Genre classification involves feature extraction and the classification techniques along with some preprocessing if needed.In this review paper we tried to discuss and compare various techniques of features extraction and classification methods.In the literature most widely used features are MFCC and timbre features and classification methods are KNN and SVM.Low level feature and high level features are taken into consideration and most suitable feature is identified.