Feature-Based Classification of Electric Guitar Types

被引：2

作者：

Profeta, Renato de Castro Rabelo ^{[1
]}

Schuller, Gerald ^{[1
]}

机构：

[1] Ilmenau Univ Technol, PF 10 05 65, D-98684 Ilmenau, Germany

来源：

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT II | 2020年 / 1168卷

关键词：

Musical instruments classification; Machine learning; Electric guitars; Music information retrieval;

D O I：

10.1007/978-3-030-43887-6_41

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：478 / 484

页数：7

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