Salamon, JustinGulati, SankalpSerra, Xavier2014-10-172014-10-172012Salamon J, Gulati S, Serra X. A multipitch approach to tonic identification in Indian classical music. In: Gouyon F, Herrera P, Martins LG, Müller M. ISMIR 2012: Proceedings of the 13th International Society for Music Information Retrieval Conference; 2012 Oct 8-12; Porto, Portugal. Porto: FEUP Ediçoes; 2012. p. 499-504.http://hdl.handle.net/10230/22735The tonic is a fundamental concept in Indian classical music/nsince it constitutes the base pitch from which a lead/nperformer constructs the melodies, and accompanying instruments/nuse it for tuning. This makes tonic identification/nan essential first step for most automatic analyses of Indian/nclassical music, such as intonation and melodic analysis,/nand raga recognition. In this paper we address the task/nof automatic tonic identification. Unlike approaches that/nidentify the tonic from a single predominant pitch track,/nhere we propose a method based on a multipitch analysis of/nthe audio. We use a multipitch representation to construct/na pitch histogram of the audio excerpt, out of which the/ntonic is identified. Rather than manually define a template,/nwe employ a classification approach to automatically learn/na set of rules for selecting the tonic. The proposed method/nreturns not only the pitch class of the tonic but also the precise/noctave in which it is played. We evaluate the approach/non a large collection of Carnatic and Hindustani music, obtaining/nan identification accuracy of 93%. We also discuss/nthe types of errors made by our proposed method, as well/nas the challenges in generating ground truth annotations.6 p.application/pdfeng© ISMIRÍndia -- MúsicaMúsica -- Anàlisiinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess