Implementation of Plagiarism Analysis System through Digital Conversion Processing of Sound Source

Mi-Hae Shin, Eui-Jeong Kim, Su-Seok Seo, Young-Chul Kim
2014 International Journal of Multimedia and Ubiquitous Engineering  
The melody in music can only be assessed by the assessor's emotions so it can only be subjective and cannot be expressed in standardized numbers. Therefore nobody can know for sure if two songs are plagiarized or not. In this paper, we attempt to realize a plagiarism analysis system of musical content that can provide judging grounds for plagiarismusually analyzed in consideration of human emotions -using IT technology. To protect music copyright, both knowledge of music and IT technology is
more » ... IT technology is compulsory to create a music plagiarism analysis system. First, by understanding factors of the musical content and analyzing plagiarism between two separate but similar voices. We tried to invent a system that measures the level of similarity. For this we considered the digital music factors for the analysis of voices and searched for methods to use IT technology for judging plagiarism. For an efficient analysis of plagiarism, we utilized the music string provided by JFugue, and designed a plagiarism analysis system for musical content and proposed an abstract syntax tree (AST). In order to determine whether or not there was plagiarism between two midi files, there needs to be a standardized method. To realize this the notes related to music need to be streamed and transformed into character strings, and by using the similarity algorithm the plagiarism analysis system of musical content determines whether there was plagiarism or not. This is shown in the following Figure 2 .
doi:10.14257/ijmue.2014.9.10.04 fatcat:d6b2jfhybbfdxm2txazwhp6enq