Intonation is a fundamental music concept that has a special relevance in Indian art music. It is characteristic of the rāga and intrinsic to the musical expression of the performer. Describing intonation is of importance to several information retrieval tasks like the development of rāga and artist similarity measures. In our previous work, we proposed a compact representation of intonation based on the parametrization of the pitch histogram of a performance and demonstrated the usefulness of this representation through an explorative rāga recognition task in which we classified 42 vocal performances belonging to 3 rāgas using parameters of a single svara. In this paper, we extend this representation to employ context-based svara distributions, which are obtained with a different approach to find the pitches belonging to each svara. We quantitatively compare this method to our previous one, discuss the advantages, and the necessary melodic analysis to be carried out in future.

This research was partly funded by the European Research Council under the European Union’s Seventh Framework/nProgram, as part of the CompMusic project (ERC grant agreement 267583). JS acknowledges JAEDOC069/2010/nfrom Consejo Superior de Investigaciones Científcas and/n2009-SGR-1434 from Generalitat de Catalunya.