Album sequencing is a critical part of the album production process. Recently, a data-driven approach was proposed that sequences general collections of independent media by extracting the narrative essence of the items in the collections. While this approach implies an album sequencing technique, it is not widely accessible to a less technical audience, requiring advanced knowledge of machine learning techniques to use. To address this, we introduce a new user-friendly web-based tool that allows a less technical audience to upload music tracks, execute this technique in one click, and subsequently presents the result in a clean visualization to the user. To both increase the number of templates available to the user and address shortcomings of previous work, we also introduce a new direct transformer-based album sequencing method. We find that our more direct method outperforms a random baseline but does not reach the same performance as the narrative essence approach. Both methods are included in our web-based user interface, and this -- alongside a full copy of our implementation -- is publicly available at https://github.com/dylanashley/automatic-album-sequencing

本研究解决了专辑制作过程中缺乏用户友好工具的问题，提出了一种新型的基于网页的音乐轨道上传和排序工具，便于非技术用户使用。研究中引入了直观的变压器模型专辑排序方法，尽管表现优于随机基线，但未能完全匹敌叙述本质方法的性能，显示该领域仍有改进空间。

自动化专辑排序