Ranjani, HG and Arthi, S and Sreenivas, TV (2011) Carnatic music analysis: Shadja, swara identification and rAga verification in AlApana using stochastic models. In: 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 16-19 Oct. 2011, New Paltz, NY, USA.
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We analyze the AlApana of a Carnatic music piece without the prior knowledge of the singer or the rAga. AlApana is ameans to communicate to the audience, the flavor or the bhAva of the rAga through the permitted notes and its phrases. The input to our analysis is a recording of the vocal AlApana along with the accompanying instrument. The AdhAra shadja(base note) of the singer for that AlApana is estimated through a stochastic model of note frequencies. Based on the shadja, we identify the notes (swaras) used in the AlApana using a semi-continuous GMM. Using the probabilities of each note interval, we recognize swaras of the AlApana. For sampurNa rAgas, we can identify the possible rAga, based on the swaras. We have been able to achieve correct shadja identification, which is crucial to all further steps, in 88.8% of 55 AlApanas. Among them (48 AlApanas of 7 rAgas), we get 91.5% correct swara identification and 62.13% correct R (rAga) accuracy.
|Item Type:||Conference Paper|
|Additional Information:||Copyright 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Keywords:||Note transcription;rAga verification;SCGMM;sampurNa rAga; AlApana;Shadja|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering
Division of Electrical Sciences > Electrical Engineering
|Date Deposited:||23 Dec 2011 07:22|
|Last Modified:||23 Dec 2011 07:22|
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