分析卡洛斯·帕雷德斯演唱中人声与吉他互动，揭示即兴表演的深层规律。
Perpetual Dialogues: A Computational Analysis of Voice-Guitar Interaction in Carlos Paredes's Discography
- 通过分离音轨与物理启发的和声建模，捕捉声音与吉他的多尺度互动
- 发现表达协调性具曲目特异性，而非整体共性，且偏差事件对齐结构边界
- 适用于无乐谱传统的口传音乐，为即兴演奏分析提供新方法
计算音乐学使对录音中表演与结构特征的系统分析成为可能，但现有方法多针对有乐谱的曲目。本研究提出一种分析卡洛斯·帕雷德斯声乐合作中人声-吉他互动的新方法，该语境属于口传传统，创作与表演层共同生成。利用源分离音轨、物理启发的和声建模及节拍级音频描述符，我们分析了八首包含四位歌手的录音中的旋律、和声与节奏关系。提出的共性-多样性框架结合多尺度相关性分析与残差驱动的结构偏差检测，揭示表达协调主要为曲目特异而非全库共性。多样性事件系统性对齐形式边界与织体转换，表明该方法可在极少人工标注下识别音乐上显著的重组。该框架为无乐谱曲目提供了可泛化的计算策略，将音乐表演分析拓展至口传传统与即兴实践。
原文摘要 · Abstract (English)
Computational musicology enables systematic analysis of performative and structural traits in recorded music, yet existing approaches remain largely tailored to notated, score-based repertoires. This study advances a methodology for analyzing voice-guitar interaction in Carlos Paredes's vocal collaborations - an oral-tradition context where compositional and performative layers co-emerge. Using source-separated stems, physics-informed harmonic modelling, and beat-level audio descriptors, we examine melodic, harmonic, and rhythmic relationships across eight recordings with four singers. Our commonality-diversity framework, combining multi-scale correlation analysis with residual-based detection of structural deviations, reveals that expressive coordination is predominantly piece-specific rather than corpus-wide. Diversity events systematically align with formal boundaries and textural shifts, demonstrating that the proposed approach can identify musically salient reorganizations with minimal human annotation. The framework further offers a generalizable computational strategy for repertoires without notated blueprints, extending Music Performance Analysis into oral-tradition and improvisation-inflected practices.
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