Download Report IEEE DataPort : The Swara-Net-5-Raaga Dataset - 2025
MP3 by Shiyamaladevi R S
Information
Format: MP3 Publisher: IEEE DataPort Publication Date of the Electronic Edition: 12/21/2025
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ISBN: 10.21227/efx3-ma12
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Description
The dataset consists of 638 audio snippets covering five prominent ragas: Shankarabharanam, Revathi, Abheri, Brindavanasaranga, and Mayamalavagowla. All files were sourced from publicly available live performances and recordings on YouTube. To ensure high quality and validity, the collection was manually vetted by the author, to verify each raga. Short snippets, approximately 15 to 30 seconds in length, were then extracted from the full recordings to capture the characteristic melodic phrases (raga-bhava) . A primary feature of this dataset is its timbral diversity. It was intentionally curated to contain a rich blend of vocal, instrumental (e.g., veena, violin, flute) and mixed performances. This resource provides a valuable, focused, and open-source collection for training and benchmarking machine learning models on this challenging and nuanced classification task
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