Understanding Human Perception of Music Plagiarism Through a Computational Approach
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2026
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| _version_ | 1866912804350459904 |
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| author | Hwang, Daeun Hwang, Hyeonbin |
| author_facet | Hwang, Daeun Hwang, Hyeonbin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_02586 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Understanding Human Perception of Music Plagiarism Through a Computational Approach Hwang, Daeun Hwang, Hyeonbin Sound Information Retrieval 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. |
| title | Understanding Human Perception of Music Plagiarism Through a Computational Approach |
| topic | Sound Information Retrieval |
| url | https://arxiv.org/abs/2601.02586 |