Wong, Tee Hao and Soong, Ming Foong and Saifizul, Ahmad and Ramli, Rahizar (2024) Advancement in Graphical User Interface Tailored Quality Classification of Sape Soundboard. BioResources, 19 (3). pp. 5523-5534. ISSN 1930-2126, DOI https://doi.org/10.15376/biores.19.3.5523-5534.
Full text not available from this repository.Abstract
This research introduces an innovative methodology for evaluating and predicting soundboard quality in the intricate craftsmanship of sape instruments. Despite the sape's profound cultural significance, the process of selecting soundboard wood has been inadequately explored, resulting in uncertainties within the crafting community. Addressing this research gap, this study integrates advanced machine learning techniques and devises a specialized Graphical User Interface (GUI) tailored for sape makers. The methodology encompasses a thorough acoustic analysis of three distinct hardwoods-adau, merbau, and tapang-employing machine learning classification through Support Vector Machine with a Gaussian kernel. The study culminates in the development of a userfriendly GUI for soundboard quality assessment. Results underscore the model's proficiency for achieving an optimized accuracy of 87.8% in classifying sape audio samples. The MATLAB App Designer-based GUI streamlines the evaluation process, offering a practical and accessible tool for craftsmen. This integrated approach, harmonizing traditional craftsmanship with cutting-edge technology, holds the potential to revolutionize sape instrument manufacturing, ensuring the preservation and progressive evolution of this rich cultural heritage.
| Item Type: | Article |
|---|---|
| Funders: | University of Technology Sarawak (4/2021/06) ; (2/2024/09) |
| Uncontrolled Keywords: | Sape; Soundboard quality; Machine learning; Traditional musical instrument; Graphical user interface |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering > Department of Mechanical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 07 Apr 2025 06:59 |
| Last Modified: | 07 Apr 2025 06:59 |
| URI: | http://eprints.um.edu.my/id/eprint/46751 |
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