Srinivasamurthy, AjayKoduri, Gopala KrishnaGulati, SankalpIshwar, VigneshSerra, Xavier2018-08-272018-08-272014Srinivasamurthy A, Koduri GK, Gulati S, Ishwar V, Serra X. Corpora for music information research in Indian art music. In: Georgaki A, Kouroupetroglou G, eds. Proceedings of the 2014 International Computer Music Conference, ICMC/SMC; 2014 Sept 14-20; Athens, Greece. [Michigan]: Michigan Publishing; 2014. p. 1029-36.2223-3881http://hdl.handle.net/10230/35356Comunicació presentada a la International Computer Music Conference, ICMC/SMC, celebrada a Atenes (Grècia) del 14 al 20 de setembre de 2014.Research corpora are representative collections of data and are essential to develop data-driven approaches in Music Information Research (MIR). We address the problem of building research corpora for MIR in Indian art music traditions of Hindustani and Carnatic music, considering several relevant criteria for building such corpora. We also discuss a methodology to assess the corpora based on these criteria and present an evaluation of the corpora in their coverage and completeness. In addition to the corpora, we briefly describe the test datasets that we have built for use in many research tasks. In specific, we describe the tonic dataset, the Carnatic rhythm dataset, the Carnatic varṇaṁ dataset, and the Mridangam stroke dataset. The criteria and the evaluation methodology discussed in this article can be used to systematically build a representative and comprehensive research corpus. The corpora and the datasets are accessible to the research community from a central online repository.application/pdfeng© 2014 Ajay Srinivasamurthy et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess