Saraga: Open Datasets for Research on Indian Art Music

We introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani traditions, comprising audio from vocal concerts, editorial metadata, and time-aligned melody, rhythm, and structure annotations. Shared under Creative Commons licenses, they currently form the largest...

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Detalhes bibliográficos
Autores: Srinivasamurthy, Ajay, Gulati, Sankalp, Caro Repetto, Rafael, Serra, Xavier
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2021
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositório:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/49187
Acesso em linha:http://hdl.handle.net/10230/49187
http://dx.doi.org/10.18061/emr.v16i1.7641
Access Level:Acceso aberto
Palavra-chave:Open annotated datasets
Indian Art Music
Computational analysis
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spelling Saraga: Open Datasets for Research on Indian Art MusicSrinivasamurthy, AjayGulati, SankalpCaro Repetto, RafaelSerra, XavierOpen annotated datasetsIndian Art MusicComputational analysisWe introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani traditions, comprising audio from vocal concerts, editorial metadata, and time-aligned melody, rhythm, and structure annotations. Shared under Creative Commons licenses, they currently form the largest annotated data collections available for computational analysis of Indian Art Music. The collections are intended to provide audio and ground truth for several music information research tasks and large-scale data-driven analysis in musicological studies. A part of the Saraga Carnatic collection also has multitrack recordings, making it a valuable collection for research on melody extraction, source separation, automatic mixing, and performance analysis. We describe the tenets and the process of collection, annotation, and organization of the data. We provide easy access to the audio, metadata, and the annotations in the collections through an API, along with a companion website that has example scripts to facilitate access and use of the data. To sustain and grow the collections, we provide a mechanism for both the research and music community to contribute additional data and annotations to the collections. We also present applications with the collections for music education, understanding, exploration, and discovery.This work has been funded by the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013)/ERC grant agreement 267583, The CompMusic Project (http://compmusic.upf.edu).The Ohio State University Libraries202120212021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/49187http://dx.doi.org/10.18061/emr.v16i1.7641reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésEmpirical Musicology Review 2021;16(1):85-98.info:eu-repo/grantAgreement/EC/FP7/267583© 2021 Srinivasamurthy, Gulati, Caro Repetto, & Serra. This article is published under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/)https://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessoai:recercat.cat:10230/491872026-05-29T05:05:01Z
dc.title.none.fl_str_mv Saraga: Open Datasets for Research on Indian Art Music
title Saraga: Open Datasets for Research on Indian Art Music
spellingShingle Saraga: Open Datasets for Research on Indian Art Music
Srinivasamurthy, Ajay
Open annotated datasets
Indian Art Music
Computational analysis
title_short Saraga: Open Datasets for Research on Indian Art Music
title_full Saraga: Open Datasets for Research on Indian Art Music
title_fullStr Saraga: Open Datasets for Research on Indian Art Music
title_full_unstemmed Saraga: Open Datasets for Research on Indian Art Music
title_sort Saraga: Open Datasets for Research on Indian Art Music
dc.creator.none.fl_str_mv Srinivasamurthy, Ajay
Gulati, Sankalp
Caro Repetto, Rafael
Serra, Xavier
author Srinivasamurthy, Ajay
author_facet Srinivasamurthy, Ajay
Gulati, Sankalp
Caro Repetto, Rafael
Serra, Xavier
author_role author
author2 Gulati, Sankalp
Caro Repetto, Rafael
Serra, Xavier
author2_role author
author
author
dc.subject.none.fl_str_mv Open annotated datasets
Indian Art Music
Computational analysis
topic Open annotated datasets
Indian Art Music
Computational analysis
description We introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani traditions, comprising audio from vocal concerts, editorial metadata, and time-aligned melody, rhythm, and structure annotations. Shared under Creative Commons licenses, they currently form the largest annotated data collections available for computational analysis of Indian Art Music. The collections are intended to provide audio and ground truth for several music information research tasks and large-scale data-driven analysis in musicological studies. A part of the Saraga Carnatic collection also has multitrack recordings, making it a valuable collection for research on melody extraction, source separation, automatic mixing, and performance analysis. We describe the tenets and the process of collection, annotation, and organization of the data. We provide easy access to the audio, metadata, and the annotations in the collections through an API, along with a companion website that has example scripts to facilitate access and use of the data. To sustain and grow the collections, we provide a mechanism for both the research and music community to contribute additional data and annotations to the collections. We also present applications with the collections for music education, understanding, exploration, and discovery.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/49187
http://dx.doi.org/10.18061/emr.v16i1.7641
url http://hdl.handle.net/10230/49187
http://dx.doi.org/10.18061/emr.v16i1.7641
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Empirical Musicology Review 2021;16(1):85-98.
info:eu-repo/grantAgreement/EC/FP7/267583
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv The Ohio State University Libraries
publisher.none.fl_str_mv The Ohio State University Libraries
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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