论文标题
使用dbscan聚类对无人陪伴的独奏唱歌中音调漂移的计算分析
A Computational Analysis of Pitch Drift in Unaccompanied Solo Singing using DBSCAN Clustering
论文作者
论文摘要
无人陪伴的歌手通常会无意中改变调整，最终比长期表现的起点更高或更低的音高。这种现象称为俯仰漂移，它取决于各种元素，例如表演者的技能以及表演的长度和难度。在本文中，我们提出了一种计算方法，用于使用俯仰直方图和DBSCAN聚类在无人陪伴的声音表现过程中测量音高漂移。
Unaccompanied vocalists usually change the tuning unintentionally and end up with a higher or lower pitch than the starting point during a long performance. This phenomenon is called pitch drift, which is dependent on various elements, such as the skill of the performer, and the length and difficulty of the performance. In this paper, we propose a computational method for measuring pitch drift in the course of an unaccompanied vocal performance, using pitch histogram and DBSCAN clustering.
