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master's thesis
Pisanje tekstova pjesama putem strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:246320
Domović, Dominik
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Domović, D. (2019). Pisanje tekstova pjesama putem strojnog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:246320

Domović, Dominik. "Pisanje tekstova pjesama putem strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:246320

Domović, Dominik. "Pisanje tekstova pjesama putem strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:246320

Domović, D. (2019). 'Pisanje tekstova pjesama putem strojnog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:246320

Domović D. Pisanje tekstova pjesama putem strojnog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 July 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:246320

D. Domović, "Pisanje tekstova pjesama putem strojnog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:246320

Metadata
TitlePisanje tekstova pjesama putem strojnog učenja
Title (english)Machine Learning for Songwriting
AuthorDominik Domović
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberSlobodan Ribarić (član povjerenstva)
Committee memberGoran Delač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-19, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj diplomski rad ukratko objašnjava osnove strojnog učenja i neuronskih mreža, te pokriva elemente strojnog učenja potrebnih za ovaj rad. U sklopu rada razvijen je program čija je zadaća naučiti stil pisanja pjesama nekog autora, te na temelju toga generirati novu pjesmu. Pokazani su rezultati traženja optimalnih parametara, rezultati pri treniranju, te primjer konačno generirane pjesme. Također se provodi usporedba s prijašnjim radom. Zaključuje se da program može uspješno naučiti specifičan stil pisanja pjesama, nakon pronalaženja optimalnih parametara.
Abstract (english)
The master's thesis briefly explains the basics of machine learning and neural networks, as well as other elements used in the thesis. As a part of the thesis, a program has been developed that has a task of learning the art style of a specific author, and then generate a song. Results of searching for the optimal parameters have been displayed, as well as training results, and, finally, an example of a generated song. A comparison is also made with the author's earlier work. It is concluded that the program can successfully learn to copy the art style, after it finds the optimal parameters.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:246320
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2020-01-07 17:39:00