自动转录波斯古典音乐微分音自由节奏唱腔，提升非遗音乐数字化水平
Automatic Transcription of Microtonal Free-Rhythm Vocal Music: A Case Study in Iranian Classical Music
- 用音高直方图与动态时间规整提取微分音旋律轮廓
- 构建专用记谱法记录特色唱腔技法tahrir，准确率提升显著
- 支持专家交互式修正，适合民族音乐学与音乐信息检索研究
本文提出一种自动转录微分音自由节奏声乐音乐的计算流程，以波斯古典音乐为例。基于著名歌手Karimi的表演和知名民族音乐学家Masoudieh提供的真值转录，数据被纳入IRMA Audio-MIDI数据集。为精确提取旋律，采用音高直方图结合动态时间规整（DTW）方法。针对该流派复杂的装饰音特征，引入专用音乐记谱法，尤其强调唱腔技巧tahrir的表达。转录系统使用Python实现，基于music21库进行符号化音乐表示。研究不仅推进计算民族音乐学发展，更展示了计算方法在复杂音乐传统保护与分析中的潜力。系统生成音频音高轨迹与对齐后的MIDI表示的联合可视化，便于用户检查演奏与转录的对应关系。配套可视化编辑器支持专家参与校正。
原文摘要 · Abstract (English)
This paper introduces a computational workflow for automatically transcribing microtonal, free-rhythm vocal music, with Iranian classical music as a case study. Our approach is based on performances by the renowned vocalist Karimi and ground truth transcriptions by the prominent ethnomusicologist Masoudieh [14], which were subsequently incorporated into the IRMA Audio-MIDI dataset [20]. To accurately extract melodies, we employ pitch histograms in conjunction with Dynamic Time Warping (DTW). Additionally, we introduce specialized musical notations to capture the intricate ornamentations characteristic of the genre, with particular emphasis on the vocal technique tahrir. The transcription process is implemented in Python using the music21 library for symbolic music representation [5]. This study not only advances the field of computational ethnomusicology but also highlights the potential of computational methods in preserving and analyzing complex musical traditions. The transcription system also generates a combined visualization of the audio pitch contour and the DTW-aligned MIDI representation, enabling users to inspect the correspondence between the performance and the generated transcription. A companion visual editor supports expert-in-the-loop correction of the resulting notation.
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