Wong, Tee Hao and Ramli, Rahizar and Saifizul, Ahmad Abdullah and Soong, Ming Foong (2022) A review of automatic musical instrument classification based on sound recognition system. Canadian Acoustics - Acoustique Canadienne, 49 (4). 27 – 38. ISSN 07116659, DOI N/A.
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Additional Information: | Cited by: 0 |
| Uncontrolled 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 |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering Faculty of Engineering > Department of Mechanical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 20 Nov 2024 07:51 |
| Last Modified: | 20 Nov 2024 07:51 |
| URI: | http://eprints.um.edu.my/id/eprint/43773 |
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