论文标题

Medley2K:混合泳过渡的数据集

Medley2K: A Dataset of Medley Transitions

论文作者

Faber, Lukas, Luck, Sandro, Pascual, Damian, Roth, Andreas, Brunner, Gino, Wattenhofer, Roger

论文摘要

在当前文献中没有很好地研究了自动产生的梅德莱斯,即是由通过平滑过渡串联的不同歌曲形成的音乐作品。为了促进有关此主题的研究,我们提供了一个名为Medley2K的数据集,该数据集由2,000个Medleys和7,712个标记的过渡组成。我们的数据集具有各种音乐流派的各种歌曲过渡。我们提供了该数据集的详细说明,并通过训练最先进的生成模型来验证它,以在歌曲之间产生过渡。

The automatic generation of medleys, i.e., musical pieces formed by different songs concatenated via smooth transitions, is not well studied in the current literature. To facilitate research on this topic, we make available a dataset called Medley2K that consists of 2,000 medleys and 7,712 labeled transitions. Our dataset features a rich variety of song transitions across different music genres. We provide a detailed description of this dataset and validate it by training a state-of-the-art generative model in the task of generating transitions between songs.

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