Indian Folk Music Dataset

<p>This dataset is a collection of mel-spectrogram features extracted from Indian folk music containing the following 15 folk styles:<br> Bauls, Bhavageethe, Garba, Kajri, Maand, Sohar, Tamang Selo, Veeragase, Bhatiali, Bihu, Gidha, Lavani, Naatupura Paatu, Sufi, Uttarakhandi.</p> <p>The number of recordings varies from 16 to 50 in the mentioned folk styles representing the scarcity of availability of given folk styles on the Internet. There are at least 4 artists and a maximum of 22. Overall there are 125 artists (34 female + 91 male) in these 15 folk styles.&nbsp;</p> <p>There is a total of 606 recordings in the dataset, with a total duration of 54.45 hrs.<br> Mel-spectrogram is extracted from a 3-second segment with each song&#39;s 1/2 second sliding window. Extracted mel-spectrogram for each segment is annotated with folk_style, state, artist, gender, song, source, no_of_artists, folk_style_id, state_id, artist_id, gender_id.<br> _________________________________________________________________________________________________________<br> This project was funded under the grant number: ECR/2018/000204 by the Science &amp; Engineering Research Board (SERB).</p>