Automatic music sty le classification is an important topic in the area of music information retrieval.In this paper

we present a study on automatic classification of Chinese folk songs by regional style which mainly fo cuses on performance of different feature selection method.We did music style classification experiments on 1392 original Chinese folk songs which are collected from 10 different regions.The experiment results show that support vector machine classification performance has a certain advantage among different classifiers without feature selection.Simultaneously

support vector machine get the highest classification accuracy of 83%with active feature selection method

the feature vector dimensions are reduced from 74 to 35 using active feature selection feature selection.Therefore

the selected feature set is more convenient for music analysis.