论文标题
表面下方（或以下）：用跳过发现的语音领先图案
Beneath (or beyond) the surface: Discovering voice-leading patterns with skip-grams
论文作者
论文摘要
诸如Mi-Re-Do复合节奏（MRDCC）之类的经常性语音领导模式很少出现在复杂的复音纹理上，因此使用计算方法找到这些模式仍然是一个巨大的挑战。本研究通过使用Skip-gram扩展了规范的N-Gram方法，如果其组成成员出现在一定数量的跳过中，则在N-Gram列表中包括子序列。我们编辑了四个数据集的西方音调音乐集，这些音乐包括符号编码和记录的性能，创建了用于定义，计数，过滤和排名跳过的模型管道，并在每种可能的模型配置中对MRDCC的位置进行了排名。我们发现，当管道采用5个跳过时，MRDCC在列表中获得了更高的排名，通过排除不反映相邻成员之间真正的谐波更改的N-gram类型来过滤列表，并使用统计关联度量对剩余类型进行排名。
Recurrent voice-leading patterns like the Mi-Re-Do compound cadence (MRDCC) rarely appear on the musical surface in complex polyphonic textures, so finding these patterns using computational methods remains a tremendous challenge. The present study extends the canonical n-gram approach by using skip-grams, which include sub-sequences in an n-gram list if their constituent members occur within a certain number of skips. We compiled four data sets of Western tonal music consisting of symbolic encodings of the notated score and a recorded performance, created a model pipeline for defining, counting, filtering, and ranking skip-grams, and ranked the position of the MRDCC in every possible model configuration. We found that the MRDCC receives a higher rank in the list when the pipeline employs 5 skips, filters the list by excluding n-gram types that do not reflect a genuine harmonic change between adjacent members, and ranks the remaining types using a statistical association measure.
