一键生成音乐专辑顺序，让非技术用户也能体验智能编排。
Automatic Album Sequencing
- 基于Transformer的直接方法自动排序音乐轨道。
- 新方法优于随机序列，但逊于叙事本质模型。
- 提供网页工具与开源代码，适合音乐人和创作者使用。
专辑编排是专辑制作中的关键环节。近期提出一种数据驱动方法，通过提取独立媒体项的叙事本质来排序通用媒体集合。尽管该方法隐含了专辑编排能力，但对非技术人员不友好，需掌握机器学习知识才能使用。为此，我们推出一个友好的网页工具，使非技术用户能一键上传音乐轨道，执行该技术并获得清晰可视化结果。为扩充模板并改进先前工作的不足，我们还引入一种新的直接Transformer-based专辑编排方法。实验发现，新方法优于随机基线，但未达到叙事本质方法的性能。两种方法均集成于网页界面，完整实现代码已公开于https://github.com/dylanashley/automatic-album-sequencing。
原文摘要 · Abstract (English)
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
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