Ivanov

This paper presents an automatic classification model for the identification of various types/makes of guitars and other string instruments. The classification is carried out by machine learning classifiers trained on mel frequency cepstral coefficients (MFCCs) features, extracted from audio recordings of different guitar models. The classification results are analyzed and insights from the experiments are shared.