基于DBSCAN聚类的无伴奏独唱音高漂移计算分析
A Computational Analysis of Pitch Drift in Unaccompanied Solo Singing using DBSCAN Clustering
摘要：
无伴奏的歌手通常会无意中改变调音，在长时间的演奏中，最终会比起点高或低。这种现象被称为音高漂移，这取决于各种因素，如表演者的技巧，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来测量音高漂移的过程中，一个无伴奏的声乐表演，使用音高直方图和DBSCAN聚类。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
