Time-Delayed Melody Surfaces for Rāga Recognition

TitleTime-Delayed Melody Surfaces for Rāga Recognition
Publication TypeConference Paper
Year of Publication2016
Conference Name17th International Society for Music Information Retrieval Conference (ISMIR 2016)
AuthorsGulati, S., Serrà J., Ganguli K. K., Şentürk S., & Serra X.
Pagination751-757
Conference Start Date05/08/2016
Conference LocationNew York (USA)
AbstractRāga is the melodic framework of Indian art music. It is a core concept used in composition, performance, organization, and pedagogy. Automatic rāga recognition is thus a fundamental information retrieval task in Indian art music. In this paper, we propose the time-delayed melody surface (TDMS), a novel feature based on delay coordinates that captures the melodic outline of a rāga. A TDMS describes both the tonal and the temporal characteristics of a melody, using only an estimation of the predominant pitch. Considering a simple k-nearest neighbor classifier, TDMSs outperform the state-of-the-art for rāga recognition by a large margin. We obtain 98% accuracy on a Hindustani music dataset of 300 recordings and 30 rāgas, and 87% accuracy on a Carnatic music dataset of 480 recordings and 40 rāgas. TDMSs are simple to implement, fast to compute, and have a musically meaningful interpretation. Since the concepts and formulation behind the TDMS are generic and widely applicable, we envision its usage in other music traditions beyond Indian art music.
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To access shared resources for this article visit its companion webpage at: http://compmusic.upf.edu/node/300
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