分析加纳传统塞佩雷瓦音乐的音高特征，发现人声微调更显著。
Analyzing Pitch Content in Traditional Ghanaian Seperewa Songs
- 用Demucs分离人声与乐器，提取基频F0数据
- 人声比塞佩雷瓦琴音高偏离平均12音平均律更大
- 揭示非西方音乐中MIR工具的适用局限
本研究基于20世纪中期的实地录音，分析加纳传统塞佩雷瓦（Akan harp-lute）歌曲的音高内容。选取71首歌曲，使用Demucs将人声与器乐分离，从中提取基频（F0）信息，并应用高斯混合模型（GMM）拟合音乐音阶。对比人声与塞佩雷瓦琴的基频分析显示，人声在音高上表现出更高的微调偏离等均律（equal temperament）的程度。研究还指出，在非西方音乐中使用音乐信息检索（MIR）工具进行音阶拟合存在挑战。该工作为撒哈拉以南非洲传统音乐的音高定量研究提供了新视角。
原文摘要 · Abstract (English)
This study examines the pitch content in traditional Ghanaian seperewa (Akan harp-lute) songs, utilizing a unique dataset from field recordings of the mid-twentieth century. We selected 71 songs and used Demucs to isolate vocals from instrumental tracks. We then retrieved the F0 content from these isolated tacks and applied Gaussian Mixture Models (GMM) to approximate musical scales. Comparative F0 analysis between vocals and seperewa revealed higher microtonal deviations from equal temperament in vocal tracks. We also note challenges in using MIR tools for musical scale approximation in non-Western music. Our research contributes to the quantitative study of pitch in traditional music of Sub-Saharan Africa.
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