Advancement in Graphical User Interface Tailored Quality Classification of Sape Soundboard

Advancement in Graphical User Interface Tailored Quality Classification of Sape Soundboard

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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 uncertainti...

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Bibliographic Details
Main Authors: Tee Hao Wong, Ming Foong Soong, Ahmad Saifizul, Rahizar Ramli
Format: Article
Language:English
Published: North Carolina State University 2024-06-01
Series:BioResources
Subjects:
sape
soundboard quality
machine learning
traditional musical instrument
graphical user interface
Online Access:https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/23639

Internet

https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/23639

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