论文标题
DHRUPAD声乐音频的结构和自动分割
Structure and Automatic Segmentation of Dhrupad Vocal Bandish Audio
论文作者
论文摘要
Dhrupad声乐音乐会包括一个构图部分，散布着即兴发作的节奏活动，涉及人声与打击乐之间的相互作用。跟踪与底片的基础度量速度有关的节奏密度变化，从而有助于促进音乐会结构中即兴截面的检测和标记。这项工作涉及自动检测音乐上相关的节奏密度，因为它们在整个绒毛（构图）性能中的时间变化。提出了Dhrupad bandish音乐会部分的注释数据集。我们研究了一个基于CNN的系统，经过培训，可以检测局部节奏关系，并以时间平滑的方式跟随它。我们还利用音频源分离作为预处理步骤，以检测人声的单个表面密度和打击乐。这有助于我们以捕捉两位表演者的节奏互动的变化来获得音乐会部分的完整音乐描述。
A Dhrupad vocal concert comprises a composition section that is interspersed with improvised episodes of increased rhythmic activity involving the interaction between the vocals and the percussion. Tracking the changing rhythmic density, in relation to the underlying metric tempo of the piece, thus facilitates the detection and labeling of the improvised sections in the concert structure. This work concerns the automatic detection of the musically relevant rhythmic densities as they change in time across the bandish (composition) performance. An annotated dataset of Dhrupad bandish concert sections is presented. We investigate a CNN-based system, trained to detect local tempo relationships, and follow it with temporal smoothing. We also employ audio source separation as a pre-processing step to the detection of the individual surface densities of the vocals and the percussion. This helps us obtain the complete musical description of the concert sections in terms of capturing the changing rhythmic interaction of the two performers.
