Computational models
for the discovery of the World’s Music
for the discovery of the World’s Music
The Mridangam Stroke dataset is a collection of 7162 audio examples of individual strokes of the Mridangam in various tonics. The dataset comprises of 10 different strokes played on Mridangams with 6 different tonic values.
B | C | C# | D | D# | E | Total | |
Bheem | 5 | 3 | 1 | 0 | 15 | 25 | 49 |
Cha | 57 | 50 | 54 | 67 | 49 | 53 | 330 |
Dheem | 127 | 86 | 78 | 12 | 111 | 54 | 468 |
Dhin | 48 | 48 | 63 | 12 | 198 | 113 | 482 |
Num | 81 | 98 | 97 | 18 | 143 | 60 | 497 |
Ta | 145 | 165 | 217 | 180 | 119 | 105 | 931 |
Tha | 200 | 185 | 211 | 224 | 196 | 160 | 1176 |
Tham | 88 | 80 | 35 | 29 | 92 | 50 | 374 |
Thi | 438 | 334 | 369 | 283 | 444 | 345 | 2213 |
Thom | 136 | 80 | 72 | 91 | 128 | 135 | 642 |
Total | 1325 | 1129 | 1197 | 916 | 1495 | 1100 | 7162 |
Each audio file is named as,
<StrokeName>_<Tonic>_<InstanceNumber>.wav <Tonic> = {B, C, Csh, D, Dsh, E} <StrokeName> = {Bheem, Cha, Dheem, Dhin, Num, Ta, Tha, Tham, Thi, Thom}
Akshay Anantapadmanabhan, Ashwin Bellur, Hema A. Murthy, "Modal analysis and transcription of strokes of the mridangam using non-negative matrix factorization," in Proc. of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), pp.181-185, May 2013
If you have any questions or comments about the dataset, please feel free to write to us:
Akshay Anantapadmanabhan ()