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Vizualizacija melodične konture na primeru otroških pesmi
ID Žnideršič, Klara (Author), ID Stefanija, Leon (Mentor) More about this mentor... This link opens in a new window, ID Pesek, Matevž (Comentor)

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Abstract
Magistrsko delo obravnava področje digitalne muzikologije s poudarkom na vizualizaciji melodične konture. Osvetljuje pristope k definiciji konture, dosedanje raziskave v glasbenem in neglasbenem kontekstu ter predstavlja digitalne formate notnega zapisa in računalniške pripomočke, ki so nastali za potrebe melodične analize. Opisuje delovanje in strukturo v okviru naloge razvitega računalniškega orodja za različne oblike vizualizacije melodične konture ter ga preizkuša na zbirki enoglasnih otroških pesmi. Kontura se v tem poskusu kaže kot intuitiven, a hkrati informacijsko bogat element glasbene strukture, ki ponuja možnosti za raziskovanje podobnosti med skladbami, iskanje vzorcev v glasbi ali dopolnjevanje drugih vrst računalniške analize.

Language:Slovenian
Keywords:digitalna muzikologija, melodična kontura, vizualizacija
Work type:Master's thesis/paper
Organization:FF - Faculty of Arts
Year:2026
PID:20.500.12556/RUL-180263 This link opens in a new window
Publication date in RUL:05.03.2026
Views:234
Downloads:99
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Secondary language

Language:English
Title:Visualization of the Melodic Contour on an Example of Children’s Songs
Abstract:
This master’s thesis explores the field of digital musicology, with a specific focus on the visualization of melodic contour. It examines approaches to defining contour, reviews existing research in both musical and non-musical contexts, and presents digital musical notation formats alongside computational tools created for melodic analysis. The thesis describes the functionality and structure of a computer tool developed as part of this research for various forms of melodic contour visualization, testing it on a collection of monophonic children's songs. In this experiment, contour proves to be an intuitive yet information-rich element of musical structure, offering opportunities for exploring similarities between compositions, identifying musical patterns, and complementing other types of computational analysis.

Keywords:digital musicology, melodic contour, visualization

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