High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Music Genre Classification and Retrieval using MFCC

Author(s):

Rutvij Gadhiya , Thakur College of Engineering and technology; Aarti Singh, Thakur College of Engineering and technology; Aditya Sawant, Thakur College of Engineering and technology

Keywords:

Classification, Content Based Retrieval, Feature Extraction

Abstract

With the advancement of technology in todays era there is a need of a efficient Music Information Retrieval (MIR) system which can organize and search through the large number of music files available on the internet. It addresses the problem of querying and retrieving certain music files from the large music data set. Classification is the most fundamental and essential component of the MIR system. The other essential part is selection of features and classifier for developing an accurate and efficient content based retrieval system. The retrieval can be done on the basis of text, genre, artist etc. In this paper genre based retrieval is considered. There are various features in a music signal and depending upon the features there are various feature extraction methods, also there are various classifiers. In this paper various features along with different feature extraction method and different classifiers are mentioned.

Other Details

Paper ID: IJSRDV7I30097
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 26-31

Article Preview

Download Article