Understanding Human Perception of Music Plagiarism Through a Computational Approach

• URL: http://arxiv.org/abs/2601.02586v1
• Date: Mon, 05 Jan 2026 22:37:19 GMT
• Title: Understanding Human Perception of Music Plagiarism Through a Computational Approach
• Authors: Daeun Hwang, Hyeonbin Hwang,
• Abstract summary: We focus on the three commonly used musical features in similarity analysis: melody, rhythm, and chord progression.<n>We propose a LLM-as-a-judge framework that applies a systematic, step-by-step approach.
• Score: 4.404667592877916
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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