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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 | http://hdl.handle.net/10230/33117 |
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