Musical Instrument Classification using Fractional Fourier Transform and KNN Classifier

Abstract— The classification of musical instrument, where the idea is to build a system that will listen to musical note and recognize which instrument is being played. In recognition of musical instrument the different musical instrument played based on isolated monophonic notes. Different feature component will be extracted and will be given to the classification system. Especially we will use the feature component based on Fractional Fourier Transform. The k-nearest neighbors will be used as a classifier for recognition. System will recognize which instrument is being played and it belong to which family will be displayed on GUI. This system proved that FRFT gives more accuracy of classification.