Intonation is a fundamental music concept that has a special relevance in Indian art music. It is characteristic of a rga and key to the musical expression of the artist. Describing intonation is of importance to several music information retrieval tasks such as developing similarity measures based on rgas and artists. In this paper, we first assess rga intonation qualitatively by analysing varṇaṁs, a particular form of Carnatic music compositions. We then approach the task of automatically obtaining a compact representation of the intonation of a recording from its pitch track. We propose two approaches based on the parametrization of pitch-value distributions: performance pitch histograms, and context-based svara distributions obtained by categorizing pitch contours based on the melodic context. We evaluate both approaches on a large Carnatic music collection and discuss their merits and limitations. We finally go through different kinds of contextual information that can be obtained to further improve the two approaches.

This research was partly funded by the European Research Council/nunder the European Union’s Seventh Framework/nProgram, as part of the CompMusic project (ERC grant agreement/n267583). J.S. acknowledges 2009-SGR-1434 fromGeneralitat/nde Catalunya, ICT-2011-8-318770 from the European Commission,/nJAEDOC069/2010 from CSIC, and European Social/nFunds.