Recently, the problem of music plagiarism has emerged as an even more pressing social issue. As music information retrieval research advances, there is a growing effort to address issues related to music plagiarism. However, many studies, including our previous work, have conducted research without clearly defining what the music plagiarism detection task actually involves. This lack of a clear definition has slowed research progress and made it hard to apply results to real-world scenarios. To fix this situation, we defined how Music Plagiarism Detection is different from other MIR tasks and explained what problems need to be solved. We introduce the Similar Music Pair dataset to support this newly defined task. In addition, we propose a method based on segment transcription as one way to solve the task. Our demo and dataset are available at https://github.com/Mippia/ICASSP2026-MPD.

翻译：近年来，音乐抄袭问题已成为一个日益紧迫的社会议题。随着音乐信息检索研究的进展，越来越多的研究致力于解决与音乐抄袭相关的问题。然而，许多研究，包括我们先前的工作，都是在未明确定义音乐抄袭检测任务实际内涵的情况下展开的。这种定义的缺失阻碍了研究进展，并使成果难以应用于实际场景。为改善这一状况，我们明确了音乐抄袭检测与其他音乐信息检索任务的区别，并阐述了需要解决的具体问题。我们引入了相似音乐对数据集以支持这一新定义的任务。此外，我们提出了一种基于片段转录的方法作为解决该任务的一种途径。我们的演示系统和数据集可在 https://github.com/Mippia/ICASSP2026-MPD 获取。