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Title:Uporaba markovskih verig v generiranju algoritmične kompozicije v programskem jeziku Pure Data : diplomska naloga
Authors:ID Mihelač, Lorena (Author)
ID Povh, Janez (Mentor) More about this mentor... New window
Files:.pdf VS_Mihelac_Lorena_i2015.pdf (2,57 MB)
MD5: 7429575124EA4B704DFDE374D9B91807
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FIŠ - Faculty of Information Studies in Novo mesto
Abstract:Cilj diplomske naloge je ustvariti algoritem za ustvarjanje nove algoritmične kompozicije s pomočjo stohastičnega procesa, metode markovskih verig prvega in drugega reda ter programskega jezika Pure Data. Za podlago bosta uporabljeni dve MIDI-datoteki, avtorska skladba Etuda, prvi stavek iz Beethovnove Mondschein sonate ter pet glasbenih nizov. Pri ustvarjanju algoritmične kompozicije bosta preizkušena dva pristopa, in sicer samostojno računalniško generiranje algoritmične kompozicije ter interaktivno soustvarjanje algoritmične kompozicije, kar pomeni določeno poseganje avtorja v algoritem zaradi večje umetniške vrednosti ustvarjene skladbe. Namen uporabe teh dveh različnih pristopov je v tem, da se ugotovi, koliko je pridobljeni primerek algoritmične skladbe lep/sprejemljiv/dober in kateri primerek algoritmične kompozicije je bolj sprejemljiv in zanimiv: primerek, ki ga je ustvaril stroj – računalnik ali primerek, ki je posledica soustvarjanja (človek in stroj – računalnik).
Keywords:algoritem, algoritmična kompozicija, markovske verige, Pure Data
Place of publishing:Novo mesto
Place of performance:Novo mesto
Publisher:[L. Mihelač]
Year of publishing:2015
Year of performance:2015
Number of pages:64 str., [19] f. pril
PID:20.500.12556/ReVIS-4987 New window
COBISS.SI-ID:2048360979 New window
UDC:004.421:519.85:781.6(043.2)
Note:Na ov.: Diplomska naloga : visokošolskega strokovnega študijskega programa prve stopnje;
Publication date in ReVIS:22.08.2018
Views:3844
Downloads:128
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:21.08.2018

Secondary language

Language:English
Abstract:The aim of the diploma thesis is to create algorithm with Markov chains of first and second order and with use of the program Pure Data an algorithm, which will be the basis for composing an algorithmic composition. For his purpose, two MIDI files will be used, author's composition Etude and the first movement from Beethoven Mondschein sonata as five music sequences as well. The creating of the algorithmic composition will include two approaches, machine generated approach and interactive approach, which means the human involvement during the process of creating the algorithmic composition in order to apply a higher artistic value. These two approaches are used to find out the esthetic value of the algorithmic composition as also to find out which approach in creating algorithmic composition gives outcomes that are more valuable: machine created composition or machine created composition with the human involvement.
Keywords:algorithm, algorithmic composition, Markov chains, Pure Data


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