
The Raga Ornamentation Detection (ROD) dataset is composed of 212 audio files of varying lengths recorded by two expert musicians. Singer 1 performed 108 recordings, while singer 2 produced 104. In total, the data set contains 4.08 hours of audio. In addition to the audio files, the dataset also includes accompaniments like drone Tanpura and percussion (Tabla). The audio files are labelled in the strong labelling fashion.
Artificial intelligence, Musicology, Machine learning
Artificial intelligence, Musicology, Machine learning
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