Estimating keys and modulations in musical pieces
Document type :
Communication dans un congrès avec actes
Title :
Estimating keys and modulations in musical pieces
Author(s) :
Feisthauer, Laurent [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Algomus
Bigo, Louis [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
Leve, Florence [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Modélisation, Information et Systèmes - UR UPJV 4290 [MIS]
Algomus
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Algomus
Bigo, Louis [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
Leve, Florence [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Modélisation, Information et Systèmes - UR UPJV 4290 [MIS]
Algomus
Conference title :
Sound and Music Computing Conference (SMC 2020)
Conference organizers(s) :
Simone Spagnol
Andrea Valle
Andrea Valle
City :
Torino
Country :
Italie
Start date of the conference :
2020-06-24
Book title :
Proceedings of the 17th Sound and Music Computing Conference, Torino, June 24th – 26th 2020
Publication date :
2020-06-24
English keyword(s) :
local key
modulation
dynamic programming
tonality
computational musicology
modulation
dynamic programming
tonality
computational musicology
HAL domain(s) :
Informatique [cs]/Informatique et langage [cs.CL]
Informatique [cs]/Son [cs.SD]
Informatique [cs]/Traitement du texte et du document
Sciences de l'Homme et Société/Musique, musicologie et arts de la scène
Informatique [cs]/Son [cs.SD]
Informatique [cs]/Traitement du texte et du document
Sciences de l'Homme et Société/Musique, musicologie et arts de la scène
English abstract : [en]
Modulations, the moments where key change, are structurally important in tonal music. Analyzing music, especially studying large-scale music structure of a piece, often implies to look for modulations. State-of-the-art ...
Show more >Modulations, the moments where key change, are structurally important in tonal music. Analyzing music, especially studying large-scale music structure of a piece, often implies to look for modulations. State-of-the-art key-finding algorithms generally aim at identifying keys rather than studying the way they change. Here, we introduce new ways to model modulations with the help of features based on musicological knowledge, as well as an algorithm estimating the tonal plan of a piece. We study the concept of current diatonic pitch set and introduce a heuristic to detect dominant-to-tonic progressions. We design three proximity measures to assess how close the music is from each key. These measures are then combined by an algorithm that identifies an optimal tonal plan. We report results on a corpus including 38 movements from Mozart's string quartets, obtaining a 84.8% prediction of correct keys with insight on where the modulations occur.Show less >
Show more >Modulations, the moments where key change, are structurally important in tonal music. Analyzing music, especially studying large-scale music structure of a piece, often implies to look for modulations. State-of-the-art key-finding algorithms generally aim at identifying keys rather than studying the way they change. Here, we introduce new ways to model modulations with the help of features based on musicological knowledge, as well as an algorithm estimating the tonal plan of a piece. We study the concept of current diatonic pitch set and introduce a heuristic to detect dominant-to-tonic progressions. We design three proximity measures to assess how close the music is from each key. These measures are then combined by an algorithm that identifies an optimal tonal plan. We report results on a corpus including 38 movements from Mozart's string quartets, obtaining a 84.8% prediction of correct keys with insight on where the modulations occur.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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