Feature-Based Classification of Electric Guitar Types

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1168)


The classification of musical instruments of instruments of the same type is a challenging case of study. In this paper we conduct feature-based machine learning experiments to classify electric guitar recordings from different manufacturers and models. The Constant-Q Transform features and the Support Vector Machine algorithm obtained an accuracy of 95% in a binary classification task of guitars from two manufacturers, and 78% in a multiclass problem with four classes, distinguishing specific models from two different manufacturers.


Musical instruments classification Machine learning Electric guitars Music information retrieval 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Ilmenau University of TechnologyIlmenauGermany

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