Class of 2026
- "Classification of Plagiarism in MIDI Melodies" with mentor Peter (Working project)
Classification of Plagiarism in MIDI Melodies
Started Apr. 18, 2023
Abstract or project description
In a proposed AI project, the focus lies on combating plagiarism in MIDI melodies through the utilization of rule-based approaches for classification. The objective is to create a model capable of accurately detecting instances of plagiarism in music compositions by analyzing MIDI data. The project intends to develop a set of rules based on musical theory and composition principles to establish a framework for evaluating melody similarity. These rules will encompass diverse aspects such as note sequences, chord progressions, rhythm patterns, and structural elements. The MIDI melodies in the dataset will be subjected to an analysis against these rules to assess their resemblance and identify potential cases of plagiarism. The project will involve iterative refinement and optimization of the rule-based system, ensuring its effectiveness and accuracy. If successful, this project could provide valuable insights and tools for musicians, educators, and copyright enforcement agencies to address plagiarism in MIDI melodies more effectively.