Towards Computational Analysis of Pansori Singing

Fuente: arXiv
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Hauptverfasser: Park, Sangheon, Han, Danbinaerin, Jeong, Dasaem
Format: Preprint
Veröffentlicht: 2024
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author Park, Sangheon
Han, Danbinaerin
Jeong, Dasaem
author_facet Park, Sangheon
Han, Danbinaerin
Jeong, Dasaem
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2410_12956
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Towards Computational Analysis of Pansori Singing
Park, Sangheon
Han, Danbinaerin
Jeong, Dasaem
Sound
Information Retrieval
Audio and Speech Processing
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.
title Towards Computational Analysis of Pansori Singing
topic Sound
Information Retrieval
Audio and Speech Processing
url https://arxiv.org/abs/2410.12956