Adding descriptors to melodies improves ...
Document type :
Communication dans un congrès avec actes
DOI :
Title :
Adding descriptors to melodies improves pattern matching: a study on Slovenian folk songs
Author(s) :
Borsan, Vanessa Nina [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Algomus
Giraud, Mathieu [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Algomus
Groult, Richard [Auteur]
Equipe Traitement de l'information en Biologie Santé [TIBS - LITIS]
Lecroq, Thierry [Auteur]
Equipe Traitement de l'information en Biologie Santé [TIBS - LITIS]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Algomus
Giraud, Mathieu [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Algomus
Groult, Richard [Auteur]

Equipe Traitement de l'information en Biologie Santé [TIBS - LITIS]
Lecroq, Thierry [Auteur]
Equipe Traitement de l'information en Biologie Santé [TIBS - LITIS]
Conference title :
International Society for Music Information Retrieval Conference (ISMIR 2023)
City :
Milan
Country :
Italie
Start date of the conference :
2023
Journal title :
International Society for Music Information Retrieval Conference (ISMIR 2023)
HAL domain(s) :
Sciences de l'Homme et Société/Musique, musicologie et arts de la scène
Informatique [cs]/Son [cs.SD]
Sciences de l'Homme et Société/Anthropologie sociale et ethnologie
Informatique [cs]/Son [cs.SD]
Sciences de l'Homme et Société/Anthropologie sociale et ethnologie
English abstract : [en]
Pattern matching is a widely spread topic in MIR and related fields. It commonly aims to provide insights into repetitive instances in or across different kinds of music or cultures. The paper presents a study on the ...
Show more >Pattern matching is a widely spread topic in MIR and related fields. It commonly aims to provide insights into repetitive instances in or across different kinds of music or cultures. The paper presents a study on the analysis of folksongs using symbolic music representation, including both music content and its contextual information. We release a corpus of 400 monophonic Slovenian tunes with structure, contour, and implied harmony annotations. We show that certain descriptors, such as contour types and harmonic ``stability'', depend on phrase position in tune. We propose a time and space-efficient algorithm based on suffix arrays and bit-vectors to match both music content (melodic sequence) and music context (descriptors). We show that pattern-matching queries combining melody and descriptors are more precise for classification tasks. We emphasize the importance of collaborative dynamics between content and context, as well as stress that not all research questions require the same amount of details. Consequently, our approach is encouraging computational music analysis to become more flexible. Lastly, the study aims to promote knowledge of Slovenian folksong.Show less >
Show more >Pattern matching is a widely spread topic in MIR and related fields. It commonly aims to provide insights into repetitive instances in or across different kinds of music or cultures. The paper presents a study on the analysis of folksongs using symbolic music representation, including both music content and its contextual information. We release a corpus of 400 monophonic Slovenian tunes with structure, contour, and implied harmony annotations. We show that certain descriptors, such as contour types and harmonic ``stability'', depend on phrase position in tune. We propose a time and space-efficient algorithm based on suffix arrays and bit-vectors to match both music content (melodic sequence) and music context (descriptors). We show that pattern-matching queries combining melody and descriptors are more precise for classification tasks. We emphasize the importance of collaborative dynamics between content and context, as well as stress that not all research questions require the same amount of details. Consequently, our approach is encouraging computational music analysis to become more flexible. Lastly, the study aims to promote knowledge of Slovenian folksong.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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