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Saraga: Open Datasets for Research on Indian Art Music

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dc.contributor.author Srinivasamurthy, Ajay
dc.contributor.author Gulati, Sankalp
dc.contributor.author Caro Repetto, Rafael
dc.contributor.author Serra, Xavier
dc.date.accessioned 2021-12-13T13:56:09Z
dc.date.available 2021-12-13T13:56:09Z
dc.date.issued 2021
dc.identifier.citation Srinivasamurthy A, Gulati S, Caro Repetto R, Serra X. Saraga: Open Datasets for Research on Indian Art Music. Empir Musicol Rev 2021;16(1):85-98. DOI: 10.18061/emr.v16i1.7641
dc.identifier.issn 1559-5749
dc.identifier.uri http://hdl.handle.net/10230/49187
dc.description.abstract 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.
dc.description.sponsorship 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).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher The Ohio State University Libraries
dc.relation.ispartof Empirical Musicology Review 2021;16(1):85-98.
dc.rights © 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/)
dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0
dc.title Saraga: Open Datasets for Research on Indian Art Music
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.18061/emr.v16i1.7641
dc.subject.keyword Open annotated datasets
dc.subject.keyword Indian Art Music
dc.subject.keyword Computational analysis
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/267583
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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