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
Divisions
fac_eng,mechanical
Publication Title
Canadian Acoustics - Acoustique Canadienne
Volume
49
Issue
4
Publisher
Canadian Acoustical Association
Additional Information
Cited by: 0