Discovering structural similarities among rgas in Indian Art Music: a computational approach

Ranjani, HG and Paramashivan, Deepak and Sreenivas, Thippur V (2019) Discovering structural similarities among rgas in Indian Art Music: a computational approach. In: SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 44 (5).

PDF Sad_Aca_Pro_Eng_Sci_44_5_2019.pdf - Published Version Restricted to Registered users only Download (6MB) | Request a copy

Abstract

Indian Art Music has a huge variety of rgas. The similarity across rgas has traditionally been approached from various musicological viewpoints. This work aims at discovering structural similarities among renditions of rgas using a data-driven approach. Starting from melodic contours, we obtain the descriptive note-level transcription of each rendition. Repetitive note patterns of variable and fixed lengths are derived using stochastic models. We propose a latent variable approach for raga distinction based on statistics of these patterns. The posterior probability of the latent variable is shown to capture similarities across raga renditions. We show that it is possible to visualize the similarities in a low-dimensional embedded space. Experiments show that it is possible to compare and contrast relations and distances between ragas in the embedded space with the musicological knowledge of the same for both Hindustani and Carnatic music forms. The proposed approach also shows robustness to duration of rendition.

Item Type:	Journal Article
Publication:	SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
Publisher:	SPRINGER INDIA
Additional Information:	copyright for this article belongs to SPRINGER INDIA
Keywords:	Indian Art Music; similar rgas; rga identification; repetitive note patterns
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	29 May 2019 11:08
Last Modified:	29 May 2019 11:08
URI:	http://eprints.iisc.ac.in/id/eprint/62625

Actions (login required)

View Item