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undergraduate thesis
Sinteza glazbe umjetnom inteligencijom
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:123549
Cvjetko, Marko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Cvjetko, M. (2021). Sinteza glazbe umjetnom inteligencijom (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:123549

Cvjetko, Marko. "Sinteza glazbe umjetnom inteligencijom." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:123549

Cvjetko, Marko. "Sinteza glazbe umjetnom inteligencijom." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:123549

Cvjetko, M. (2021). 'Sinteza glazbe umjetnom inteligencijom', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 February 2025, https://urn.nsk.hr/urn:nbn:hr:168:123549

Cvjetko M. Sinteza glazbe umjetnom inteligencijom [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2025 February 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:123549

M. Cvjetko, "Sinteza glazbe umjetnom inteligencijom", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:123549

Metadata
TitleSinteza glazbe umjetnom inteligencijom
Title (english)Music synthesis using artificial intelligence
AuthorMarko Cvjetko
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberEugen Vušak (član povjerenstva)
Committee memberLucija Planinić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad opisuje problem sinteze glazbe umjetnom inteligencijom. Definira sintezu glazbe kao optimizacijski problem i predlaže algoritam temeljen na umjetnim neuronskim mrežama. Ukratko, kroz primjere, opisana je korištena biblioteka za pisanje programske potpore. Bira se skup podataka nad kojim ´ce mreža uˇciti i opisuje se postupak pretprocesiranja. Predlaže se arhitektura neuronske mreže. Definira se proces uˇcenja i evaluacije modela. Generirane skladbe se analiziraju i uspored¯uju sa skladbama iz skupa podataka za uˇcenje.
Abstract (english)
This thesis describes the problem of music synthesis using artificial intelligence. It defines music synthesis as an optimization problem and offers an algorithm based on artificial neural networks. Briefly, through examples, the library used for writing software is described. The data set through which the network learns is selected and data pre-processing is described. The neural network architecture is proposed and implemented. The process of model learning and evaluating is defined. Generated compositions are analyzed and compared with the compositions of the training data set .
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:123549
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 14:43:13