Gulati, SankalpSerrà Julià, JoanGanguli, Kaustuv KantiSentürk, SertanSerra, Xavier2017-10-302017-10-302016Gulati S, Serrà J, Ganguli KK, Sentürk S, Serra X. Time-delayed melody surfaces for Rāga recognition. In: Devaney J, Mandel MI, Turnbull D, Tzanetakis G, editors. ISMIR 2016. Proceedings of the 17th International Society for Music Information Retrieval Conference; 2016 Aug 7-11; New York City (NY). [Canada]: ISMIR; 2016. p. 751-7.http://hdl.handle.net/10230/33117Comunicació presentada a la 17th International Society for Music Information Retrieval Conference (ISMIR 2016), celebrada els dies 7 a 11 d'agost de 2016 a Nova York, EUA.Raga is the melodic framework of Indian art music. It is a core concept used in composition, performance, organization, and pedagogy. Automatic raga 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 raga. 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 raga recognition by a large margin. We obtain 98% accuracy on a Hindustani music dataset of 300 recordings and 30 ragas, and 87% accuracy on a Carnatic music dataset of 480 recordings and 40 ragas. 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.application/pdfeng© Sankalp Gulati, Joan Serra, Kaustuv K Ganguli, Sertan Senturk and Xavier Serra. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Sankalp Gulati, Joan Serra, Kaustuv K Ganguli, Sertan Senturk and Xavier Serra. “Time-delayed melody surfaces for Raga recognition”, 17th International Society for Music Information Retrieval Conference, 2016.Música -- Anàlisiinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess