MUSICAL INSTRUMENT CLASSIFICATION USING MIR TOOLBOX

Abstract

In this paper, we propose the classification of instruments in continuous melody pieces or nonvocal sound pieces which may contain more kinds of instrument like flute in woodwind family, piano in keyboard, guitar in string, drum in percussion, trumpet in brass family. The various sound of instrument is classified using MIR Toolbox which is music information retrieval toolbox. In this proposed system we use major features set like Tonality, Timber, Rhythm, Pitch, and Energy from MIR Toolbox useful for musical instrument. This system willextract the features of musical instrument, and use it for training and testing purpose. In testing phase, the sample is compared by using suitable machine learning algorithm KNN using Euclidean distance, and PNN using probability distribution function. The class of instrument is declared in the GUI. The performance of Instrument identification was checked using with different feature selection and ranking classifier. For the limited set of Musical Instrument types and samples, the system works satisfactory