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Indian Regional Music Dataset

<p>This dataset is a collection of mel-spectrogram features&nbsp;extracted from&nbsp;Indian regional music&nbsp;containing the following languages:<br> Hindi, Gujarati, Marathi, Konkani, Bengali, Oriya, Kashmiri, Assamese, Nepali, Konyak, Manipuri, Khasi &amp; Jaintia, Tamil, Malayalam, Punjabi, Telugu, Kannada.</p> <p>Five recordings are collected for each language for four artists (2Male + 2Female) each.&nbsp;2 artists out of 4 for each language are old veteran performers, and the remaining 2 are contemporary performers. Overall, the dataset includes 17 languages and 68 artists (34 Males and 34 Females). There are 340 recordings in the dataset, with a total duration of 29.3 hrs.</p> <p>Mel-spectrogram is extracted from a 3-second segment with a 1/2 second sliding window for each song. Extracted mel-spectrogram for each segment is annotated with&nbsp;language, location,&nbsp;local_song_index,&nbsp;global_song_index, language_id, location_id,&nbsp;artist_id, gender_id&nbsp;and no_of_artists.</p> <p>_________________________________________________________________________________________________________</p> <p>This project was funded under the grant number: ECR/2018/000204 by the Science &amp; Engineering Research Board (SERB).</p> <p>&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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