A review of automatic musical instrument classification based on sound recognition system

Document Type

Article

Publication Date

1-1-2022

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: feature extraction and 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 are also presented and reviewed. © 2022, Canadian Acoustical Association. All rights reserved.

Keywords

Classification (of information), Extraction, Music, Musical instruments, Automatic classification, Classification tasks, Feature extraction and classification, Features extraction, Machine learning systems, Machine-learning, Musical instrument classifications, Recognition systems, Relevant features, Sound recognition, Feature extraction

Publication Title

Canadian Acoustics - Acoustique Canadienne

Divisions

fac_eng,mechanical

Volume

49

Issue

4

Publisher

Canadian Acoustical Association

Additional Information

Cited by: 0

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