Understanding Human Perception of Music Plagiarism Through a Computational Approach
By: Daeun Hwang, Hyeonbin Hwang
Potential Business Impact:
Finds stolen music by checking melody, rhythm, and chords.
There is a wide variety of music similarity detection algorithms, while discussions about music plagiarism in the real world are often based on audience perceptions. Therefore, we aim to conduct a study to examine the key criteria of human perception of music plagiarism, focusing on the three commonly used musical features in similarity analysis: melody, rhythm, and chord progression. After identifying the key features and levels of variation humans use in perceiving musical similarity, we propose a LLM-as-a-judge framework that applies a systematic, step-by-step approach, drawing on modules that extract such high-level attributes.
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