Mridangam stroke dataset

DOI

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. The dataset can be used for training models for each Mridangam stroke.

The audio examples were recorded from a professional Carnatic percussionist in a semi-anechoic studio conditions by Akshay Anantapadmanabhan using SM-58 microphones and an H4n ZOOM recorder. The audio was sampled at 44.1 kHz and stored as 16 bit wav files. The dataset can be used for training models for each Mridangam stroke. /n/nA detailed description of the Mridangam and its strokes can be found in the paper below. A part of the dataset was used in the following paper. /nAkshay 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./n/nThe whole dataset is organized by the tonic, into 6 packs in Freesound. The packs can be downloaded from the links below. /n/nB: http://www.freesound.org/people/akshaylaya/packs/14157//n/nC: http://www.freesound.org/people/akshaylaya/packs/14159//n/nC#: http://www.freesound.org/people/akshaylaya/packs/14160//n/nD: http://www.freesound.org/people/akshaylaya/packs/14161//n/nD#: http://www.freesound.org/people/akshaylaya/packs/14163//n/nE: http://www.freesound.org/people/akshaylaya/packs/14164//n/nEach audio file is named as, /n/n__.wav/n = {B, C, Csh, D, Dsh, E}/n = {Bheem, Cha, Dheem, Dhin, Num, Ta, Tha, Tham, Thi, Thom}

Identifier
DOI https://doi.org/10.34810/data456
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data456
Provenance
Creator CompMusic
Publisher CORA.Repositori de Dades de Recerca
Publication Year 2023
Funding Reference European Comission 267583
Rights Custom Dataset Terms; info:eu-repo/semantics/openAccess; https://dataverse.csuc.cat/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.34810/data456
OpenAccess true
Representation
Resource Type Other; Dataset
Format application/zip; text/plain
Size 37308940; 32888544; 32512778; 26780449; 56927322; 38434706; 1393
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Fine Arts, Music, Theatre and Media Studies; Humanities; Life Sciences; Music; Social Sciences; Social and Behavioural Sciences; Soil Sciences