自动重建古乐谱中的五线谱，提升古音乐数字化分析精度
Automatic staff reconstruction within SIMSSA proect
- 通过检测、追踪与插值，从数字萨尔齐内斯数据库中复原五线谱
- 在古乐谱五线谱重建任务上表现优异，准确率显著
- 适合从事古乐谱数字化与音乐信息检索的研究者
音乐符号的自动分析一直是数十年来的研究热点，随着包含乐谱的音乐数据库不断建立，尤其是古代音乐乐谱的公开，这一领域愈发重要。正确分析音乐元素及其诠释的关键在于准确识别五线谱。本文描述了一种后处理方案，用于先前音乐对象识别系统的输出。该方案通过检测、追踪与插值方法，实现了对来自数字萨尔齐内斯数据库的古乐谱中五线谱的重建。所提出的方案在特定任务中表现出显著性能。
原文摘要 · Abstract (English)
The automatic analysis of scores has been a research topic of interest for the last few decades and still is since music databases that include musical scores are currently being created to make musical content available to the public, including scores of ancient music. For the correct analysis of music elements and their interpretation, the identification of staff lines is of key importance. In this paper, a scheme to post-process the output of a previous musical object identification system is described. This system allows the reconstruction by means of detection, tracking and interpolation of the staff lines of ancient scores from the digital Salzinnes Database. The scheme developed shows a remarkable performance on the specific task it was created for.
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