Musical instrument identification using SVM, MLP& AdaBoost with formal concept analysis

Abstract

Musical instruments are consist of wide variety of domain so manual classification of these instruments is difficult and challenging task. To make the process of classifying musical instrument easy and less dependent on human supervision given system is designed. There are some algorithm are available for classification tsk from which we uses SVM, MLP and AdaBoost for better result. This system mainly designed for automatic classification of musical instrument using SVM, MLP and AdaBoost classifiers. Formal Concept Analysis technique is also applied to show relationship between musical instruments and their attributes. This system is evaluated with SVM, MLP and AdaBoost classifiers which show that AdaBoost gives better result than SVM and MLP.