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http://dx.doi.org/10.5392/JKCA.2014.14.02.028

Structural Analysis Algorithm for Automatic Transcription 'Pansori'  

Ju, Young-Ho (전북대학교 전자정보공학부 컴퓨터공학)
Kim, Joon-Cheol (서남대학교 전자공학과)
Seo, Kyoung-Suk (전북도립국악원)
Lee, Joon-Whoan (전북대학교 전자정보공학부 컴퓨터공학)
Publication Information
The Journal of the Korea Contents Association / v.14, no.2, 2014 , pp. 28-38 More about this Journal
Abstract
For western music there has been a volume of researches on music information analysis for automatic transcription or content-based music retrieval. But it is hard to find the similar research on Korean traditional music. In this paper we propose several algorithms to automatically analyze the structure of Korean traditional music 'Pansori'. The proposed algorithm automatically distinguishes between the 'sound' part and 'speech' part which are named 'sori' and 'aniri', respectively, using the ratio of phonetic and pause time intervals. For rhythm called 'jangdan' classification the algorithm makes the robust decision using the majority voting process based on template matching. Also an algorithm is suggested to detect the bar positions in the 'sori' part based on Kalman filter. Every proposed algorithm in the paper works so well enough for the sample music sources of 'Pansori' that the results may be used to automatically transcribe the 'Pansori'.
Keywords
Pansori Structure Analysis; Jangdan; Automatic Transcription; Template Matching; Kalman Filter;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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