Detection System of Aceh Ethnic Music Types Based On Sound Using the Hubbard Stratonovich Transformation Method

Abstract

Sound is a natural and efficient communication media to get an information. In everyday discoveries, someone is always looking for information with other people. Voice with information and data that someone wants to get through various media. Not only by talking we can get information, one of them is through by music. Not only as entertainment, music also have many benefits. At this time maybe not many people know what Indonesian traditional music is, especially Aceh music. Because in this modern era there are so many people who are starting to leave traditional Indonesian music, there are some people who do not know it, even do not want to know it at all for many reasons. One way it can be used to provide information about computer vision used in this study. This research was built using Borland Delphi 7.0 programming language. The sound recognition process is done by inputting the sound sample results and also the sound inputted will produce energy using the Hubbard Stratonovich Transformation method. The results showed that the system depends on the accuracy of the sound technique used, and also obtained an average of an average of around 60% to 90%. Using this system is expected to help release the types of music from Aceh.

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