Note: This bibliographic page is archived and will no longer be updated. For an up-to-date list of publications from the Music Technology Group see the Publications list .

Time-Delayed Melody Surfaces for Rāga Recognition

Title Time-Delayed Melody Surfaces for Rāga Recognition
Publication Type Conference Paper
Year of Publication 2016
Conference Name 17th International Society for Music Information Retrieval Conference (ISMIR 2016)
Authors Gulati, S. , Serrà J. , Ganguli K. K. , Şentürk S. , & Serra X.
Pagination 751-757
Conference Start Date 05/08/2016
Conference Location New York (USA)
Abstract Rāga 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.
preprint/postprint document
Additional material:
To access shared resources for this article visit its companion webpage at: