一个档案探索系统的狩猎歌曲的湖地落包

M. Emmett, Zongyu Yin, Tom Collins
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引用次数: 0

摘要

从日常用户到专业档案管理员,都对能够通过特定领域的语言和查询来搜索数字图书馆目录有着浓厚的兴趣。本文提出了一个概念验证系统,该系统使图书馆用户能够在音乐上搜索与歌唱、哼唱或打字查询相匹配的歌曲或片段。我们选择使用最近收集的80首Lakeland Hunting Song曲调(项目)的语料库,并且档案管理员希望根据其音乐内容制作一个易于搜索的资源。现有的系统,如folktunefinder.com,对节奏变化很强大,但对缺失或插入的音符却不太强大,所以我们采用了几何散列方法作为确定匹配的基础,并作为对现有工作的潜在改进。经评估表明,该系统运行速度快、效果好。我们讨论了一些从它的使用中产生的例子,并指出未来的工作如何建立在这个概念验证系统上,使它能够以更自然,音乐的方式搜索其他歌曲或作品的集合。我们的档案探索系统可以在https://hse.glitch.me上试用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An archive-exploration system for the Hunting Songs of the Lakeland Fell Packs
From everyday users to expert archivists, there is a keen interest in being able to search digital library catalogues via domain-specific languages and queries. This paper presents a proof-of-concept system that enables library users to search musically for songs or pieces that match to sung, hummed, or typed note queries. We chose to work with a corpus of 80 Lakeland Hunting Song tunes (Items) that have been collected recently, and for which the archivist wanted to make a resource that was easily searchable in terms of its musical content. Existing systems such as that at folktunefinder.com are robust to rhythmic changes but not to missing or interpolated notes, so we employed a geometric hashing approach as the basis for determining matches and as a potential improvement on existing work. An evaluation indicates that the system works quickly and effectively. We discuss some of the examples arising from its use, and indicate how future work building on this proof-of-concept system may make it possible to search other collections of songs or pieces in a more natural, musical way. Our archive-exploration system is available for trying out at https://hse.glitch.me.
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