用算法从145段伊朗声乐录音中提取微分音音高与调式系统。
Computational Extraction of Intonation and Tuning Systems from Multiple Microtonal Monophonic Vocal Recordings with Diverse Modes
- 通过音高直方图和动态时间对齐分析多段演唱，捕捉音高变化规律。
- 在145首作品中重构出符合表演习惯的微分音调式框架。
- 适合研究民族音乐学或计算音乐分析的学者参考。
本文提出一种计算方法，用于分析微分音口头传统中的音高与调式体系，结合音高直方图、动态时间对齐（DTW）和优化技术，以一位伊朗古典声乐大师的完整曲目（145首）为案例。直接从声乐表演中提取音高频率，虽不强制对齐MIDI音符，但在可用时使用DTW优化音程分析。通过建模多段录音中的音高变异，推导出既体现表演灵活性又反映系统性倾向的调式结构。优化技术用于对齐整个口头传统曲目的音程，揭示具体调式与音高体系。该方法展示了计算手段在音乐学与民族音乐学研究中的潜力，为微分音声乐传统的调式定义提供数据驱动路径。
原文摘要 · Abstract (English)
This paper presents a computational methodology for analyzing intonation and deriving tuning systems in microtonal oral traditions, utilizing pitch histograms, Dynamic Time Warping (DTW), and optimization techniques, with a case study on a complete repertoire performed by a master of Iranian Classical Vocal Music (145 pieces). Pitch frequencies are extracted directly from vocal performances, and while alignment with MIDI notes is not a standard practice in our approach, we incorporate it where available, using DTW to refine interval analysis. By modeling intonation variations across multiple recordings, we derive structured tuning frameworks that capture both the flexibility of performance and the underlying systematic tendencies. Optimization techniques are applied to align intervals across the oral tradition repertoire, capturing the specific tunings and modal structures involved. Our methodology highlights the potential of computational techniques in advancing musicological and ethnomusicological research, offering a data-driven approach to defining tuning systems in microtonal vocal traditions.
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