Towards Computational Analysis of Pansori Singing

TL;DR

This paper explores computational methods for analyzing Pansori, a traditional Korean vocal genre, using audio and transcription data to reveal its unique musical characteristics and demonstrate applications of Music Information Retrieval techniques.

Contribution

It introduces a novel approach to analyzing Pansori through computational methods, integrating audio and transcription data for traditional music analysis.

Findings

Revealed distinct audio features of Pansori

Demonstrated application of MIR techniques to traditional music

Enhanced understanding of Pansori's musical structure

Abstract

Pansori is one of the most representative vocal genres of Korean traditional music, which has an elaborated vocal melody line with strong vibrato. Although the music is transmitted orally without any music notation, transcribing pansori music in Western staff notation has been introduced for several purposes, such as documentation of music, education, or research. In this paper, we introduce computational analysis of pansori based on both audio and corresponding transcription, how modern Music Information Retrieval tasks can be used in analyzing traditional music and how it revealed different audio characteristics of what pansori contains.