Dhrupad人声Bandish音频的结构与自动分割
Structure and Automatic Segmentation of Dhrupad Vocal Bandish Audio
摘要：
一个Dhrupad声乐演唱会包括一个组成部分，这是穿插与即兴插曲增加节奏活动涉及之间的相互作用的声乐和打击乐。因此，相对于作品的基本度量速度来跟踪变化的节奏密度有助于检测和标记音乐会结构中的即兴部分。这项工作涉及自动检测的音乐相关的节奏密度，因为他们在整个班迪斯（组成）性能的时间变化。Dhrupad班迪什音乐会部分的注释数据集。我们研究了一个基于CNN的系统，经过训练可以检测本地节奏关系，并使用时间平滑进行跟踪。我们还采用音频源分离作为预处理步骤来检测人声和打击乐的个体表面密度。这有助于我们在捕捉两位表演者不断变化的节奏互动方面获得音乐会部分的完整音乐描述。
英文摘要：
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.
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。
