Record Details

Classification of Melodic Motifs in Raga Music with Time-series Matching

DSpace at IIT Bombay

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Title Classification of Melodic Motifs in Raga Music with Time-series Matching
 
Creator RAO, P
ROSS, JC
GANGULI, KK
PANDIT, V
ISHWAR, V
BELLUR, A
MURTHY, HA
 
Subject raga-characteristic phrases
melodic motifs
machine learning
POLYPHONIC MUSIC
RECOGNITION
EXTRACTION
 
Description Ragas are characterized by their melodic motifs or catch phrases that constitute strong cues to the raga identity for both the performer and the listener, and therefore are of great interest in music retrieval and automatic transcription. While the characteristic phrases, or pakads, appear in written notation as a sequence of notes, musicological rules for interpretation of the phrase in performance in a manner that allows considerable creative expression, while not transgressing raga grammar, are not explicitly defined. In this work, machine learning methods are used on labelled databases of Hindustani and Carnatic vocal audio concerts to obtain phrase classification on manually segmented audio. Dynamic time warping and HMM based classification are applied on time series of detected pitch values used for the melodic representation of a phrase. Retrieval experiments on raga-characteristic phrases show promising results while providing interesting insights on the nature of variation in the surface realization of raga-characteristic motifs within and across concerts.
 
Publisher ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
 
Date 2014-12-28T15:00:54Z
2014-12-28T15:00:54Z
2014
 
Type Article
 
Identifier JOURNAL OF NEW MUSIC RESEARCH, 43(1)115-131
0929-8215
1744-5027
http://dx.doi.org/10.1080/09298215.2013.873470
http://dspace.library.iitb.ac.in/jspui/handle/100/16818
 
Language English