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Feature-Based Classification of Electric Guitar Types

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

Abstract

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.

Keywords

Musical instruments classification Machine learning Electric guitars Music information retrieval 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Ilmenau University of TechnologyIlmenauGermany

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