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Optimization-Based Analysis of Music Intervals and Tuning Systems in Oral Traditions Using Pitch Histograms: A Case Study of Iranian Vocal Music

Main:12 Pages
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Bibliography:2 Pages
Abstract

This paper presents a computational methodology for analyzing music intervals and tunings in microtonal oral traditions, utilizing pitch histograms, Dynamic Time Warping (DTW), and optimization techniques. By extracting pitch frequencies directly from vocal performances and aligning them with MIDI notes via DTW, we determine musical intervals using histograms. This approach offers an efficient, performance-based, and instrument-independent alternative to traditional tuning system analysis. Optimization techniques are then employed to align intervals throughout the oral tradition repertoire, capturing the specific tunings and modes involved. Our methodology demonstrates the potential of computational techniques in advancing musicological and ethnomusicological research, revealing new insights into the studied traditions.

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@article{shafiei2025_2503.11956,
  title={ Optimization-Based Analysis of Music Intervals and Tuning Systems in Oral Traditions Using Pitch Histograms: A Case Study of Iranian Vocal Music },
  author={ Sepideh Shafiei and Shapour Hakam },
  journal={arXiv preprint arXiv:2503.11956},
  year={ 2025 }
}
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