Flash News
Welcome to IARC

Publisher Login

Latest News
Welcome to IARC- JCR Report

Submit your Journal to get IARC-JCRR Indexing and Impact Factor
 

Impact Factor calculated by IARC on the basis of Journal Citation Reference (JCR) Report.

 

Contact: iarcdpi@gmail.com

 

COMPARATIVE ANALYSIS OF PREDICTION OF HUMAN AND AUTOMATIC MUSIC GENRE CLASSIFICATION
KOMAL JADAV,* FIROZ A.SHERASIYA

Published in: International Journal of Scientific Review and Research in Engineering and Technology
Volume- 1, Issue-2, pp.9-18, Feb 2016
DPI :-> 16.10069.IJSRRET.2016.V1I2.918.141



Abstract
Music Information Retrieval (MIR) is a rapidly growing field of research with many applications in the real world. Today there has been an increase in the volume of work in the field of genre of music .The classification assessment and comparison of classification system of the kind is prevented by the subjective perception of Type Definitions by the users. In this article we describe a series of experiments in musical genre classification automatic. The experiments have also give information on the features derived from and auditory model have a similar performance with functionality based on Mel- Frequency Cepstral coefficients(MFCC). so, this study helps to generate mood based track system for Hindi Music.

Key-Words / Index Term
Music Information Retrieval (MIR), Genre Classification, MFCC

How to cite this article
KOMAL JADAV,* FIROZ A.SHERASIYA , “COMPARATIVE ANALYSIS OF PREDICTION OF HUMAN AND AUTOMATIC MUSIC GENRE CLASSIFICATION”, International Journal of Scientific Review and Research in Engineering and Technology, 1, Issue-2, pp.9-18, Feb 2016. DPI:16.10069.IJSRRET.V1.I2.141