Plagiarism Analysis in Musical Notes
Amutha Prabha N1, Abhishek Gudipalli2, Vidhyasagar G3
1Amutha Prabha N, School of Electrical Engineering, VIT University, Vellore, India.
2Abhishek Gudipalli, School of Electrical Engineering, VIT University, Vellore, India.
3Vidhya Sagar G, School of Electrical Engineering, VIT University, Vellore, India.
Manuscript received on 05 April 2019 | Revised Manuscript received on 11 May 2019 | Manuscript published on 30 May 2019 | PP: 1703-1706 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1367058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Plagiarism is essentially the copying or stealing of the works of another individual or a group and presenting them as one’s original work. This paper aims to create a plagiarism detection application which analyses two audio files and finds the level of similarity between them, giving a percentage number to aptly define the level of plagiarism in the allegedly copied product. There are a few different techniques which can be used to approach this problem. This work uses Music Information Retrieval to perform analysis and find the similarity in the drum beats and the notes played in the song. A graphical user interface is created to provide ease of use so that everyone – from large corporations to individual end users – can use this application with minimum effort or skill.
Index Terms: Audio, Graphical User Interface, Music, Plagiarism, Audio.
Scope of the Article: Music Modelling and Analysis