Corpora for music information research in Indian art music

Srinivasamurthy, Ajay; Koduri, Gopala Krishna; Gulati, Sankalp; Ishwar, Vignesh; Serra, Xavier

Corpora for music information research in Indian art music

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Citation

Srinivasamurthy 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.

Abstract

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.