Musical Note Recognition Using Minimum Spanning Tree Algorithm

Yoppy, Sazaki and Rosda, Ayuni (2014) Musical Note Recognition Using Minimum Spanning Tree Algorithm. In: THE 8TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATION SYSTEM, SERVICES, AND APPLICATION TSSA 2014, 23 - 24 Oktober 2014, Kuta Bali.


Download (612kB) | Preview
Official URL:


Musical Notes are notes which is placed in staff. This research was developed a musical note recognition software using Minimum Spanning Tree Algorithm. This software was developed to help beginner in learning music especially in recognizing musical notes. The input for this software was musical notes image and the output were information of musical note which is name of musical note and beat?s length sound of recognized musical note. There were four pre-processing involved in this research namely Sobel edge detection, binarization, segmentation and scaling then the result from pre-processing was used in training process. Accuracy of musical note recognition using this algorithm reached 97.9 per cent out of 97 trained data and 97.4 per cent out of 40 tested data.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General) > T58.4 Managerial control systems Information technology. Information systems (General)
Divisions: Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Mr Yoppy Sazaki
Date Deposited: 01 Jan 2020 08:58
Last Modified: 01 Jan 2020 08:58

Actions (login required)

View Item View Item