An Open Research Dataset of the 1932 Cairo Congress of Arab Music
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909651530940416 |
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| author | Bozkurt, Baris |
| author_facet | Bozkurt, Baris |
| contents | This paper introduces ORD-CC32 , an open research dataset derived from the 1932 Cairo Congress of Arab Music recordings, a historically significant collection representing diverse Arab musical traditions. The dataset includes structured metadata, melodic and rhythmic mode tags (maqam and iqa), manually labeled tonic information, and acoustic features extracted using state-of-the-art pitch detection methods. These resources support computational studies of tuning, temperament, and regional variations in Arab music. A case study using pitch histograms demonstrates the potential for data-driven analysis of microtonal differences across regions. By making this dataset openly available, we aim to enable interdisciplinary research in computational ethnomusicology, music information retrieval (MIR), cultural studies, and digital heritage preservation. ORD-CC32 is shared on Zenodo with tools for feature extraction and metadata retrieval. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_14503 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | An Open Research Dataset of the 1932 Cairo Congress of Arab Music Bozkurt, Baris Sound Digital Libraries Audio and Speech Processing This paper introduces ORD-CC32 , an open research dataset derived from the 1932 Cairo Congress of Arab Music recordings, a historically significant collection representing diverse Arab musical traditions. The dataset includes structured metadata, melodic and rhythmic mode tags (maqam and iqa), manually labeled tonic information, and acoustic features extracted using state-of-the-art pitch detection methods. These resources support computational studies of tuning, temperament, and regional variations in Arab music. A case study using pitch histograms demonstrates the potential for data-driven analysis of microtonal differences across regions. By making this dataset openly available, we aim to enable interdisciplinary research in computational ethnomusicology, music information retrieval (MIR), cultural studies, and digital heritage preservation. ORD-CC32 is shared on Zenodo with tools for feature extraction and metadata retrieval. |
| title | An Open Research Dataset of the 1932 Cairo Congress of Arab Music |
| topic | Sound Digital Libraries Audio and Speech Processing |
| url | https://arxiv.org/abs/2506.14503 |