A Review Of Automatic Musical Instrument Classification Based On Sound Recognition System

Authors

  • Wong Tee Hao Mr
  • Rahizar Ramli
  • Ahmad Saifizul
  • Soong Ming Foong

Keywords:

Musical instrument classification, Machine learning, Feature extraction, Automatic classification

Abstract

This paper presents a review of research on musical instrument classification which employed the machine learning system. The two main steps in the automatic classification task are discussed, the feature extraction and the classification. The musical instrument classification follows the Hornbostel-Sachs system. In the feature extraction, the relevant features that are commonly used in the literature are listed and organized in a taxonomy which is divided according to the domain of computation. Different classification techniques that are widely used by the researchers is also presented and reviewed.

Author Biographies

Rahizar Ramli

Department of Mechanical Engineering, University of Malaya

Ahmad Saifizul

Department of Mechanical Engineering, University of Malaya

Soong Ming Foong

Department of Mechanical Engineering, University of Malaya

Additional Files

Published

2021-12-27 — Updated on 2022-07-25

Versions

How to Cite

1.
Tee Hao W, Rahizar Ramli, Ahmad Saifizul, Soong Ming Foong. A Review Of Automatic Musical Instrument Classification Based On Sound Recognition System. Canadian Acoustics [Internet]. 2022 Jul. 25 [cited 2024 Apr. 19];49(4). Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/3427

Issue

Vol. 49 No. 4 (2021)

Section

Article - Musical Acoustics / Electroacoustics

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