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master's thesis
Automatsko generiranje glazbe temeljeno na umjetnim neuronskim mrežama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:665153
Pereglin, Domagoj
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Pereglin, D. (2017). Automatsko generiranje glazbe temeljeno na umjetnim neuronskim mrežama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:665153

Pereglin, Domagoj. "Automatsko generiranje glazbe temeljeno na umjetnim neuronskim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:665153

Pereglin, Domagoj. "Automatsko generiranje glazbe temeljeno na umjetnim neuronskim mrežama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:665153

Pereglin, D. (2017). 'Automatsko generiranje glazbe temeljeno na umjetnim neuronskim mrežama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:665153

Pereglin D. Automatsko generiranje glazbe temeljeno na umjetnim neuronskim mrežama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 June 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:665153

D. Pereglin, "Automatsko generiranje glazbe temeljeno na umjetnim neuronskim mrežama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:665153

Metadata
TitleAutomatsko generiranje glazbe temeljeno na umjetnim neuronskim mrežama
Title (english)Automatic Generation of Music Based on Artifical Neural Networks
AuthorDomagoj Pereglin
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberMarin Golub (član povjerenstva)
Committee memberJan Šnajder (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Korištenje algoritama umjetne inteligencije u skladanju glazbe, tj. algoritamsko skladanje, djelomična je ili potpuna automatizacija procesa skladanja glazbe upotrebom računala. Od pedesetih godina prošlog stoljeća koristile su se različite tehnike umjetne inteligencije u cilju ostvarenja automatizacije tog procesa. U ovom radu objašnjene su umjetne neuronske mreže. Poseban je naglasak stavljen na povratne neuronske mreže i njihovu primjenu u procesu automatskog generiranja glazbe. Opisana je implementacija sustava automatskog generiranja glazbe temeljena na mrežama LSTM. Opisani su rezultati generiranja te su dane poveznice na kod i slušne primjere.
Abstract (english)
Use of artificial intelligence algorithms in music composition, i. e. algorithmic composition, is partially or complete automation of composition process with the help of computers. Since 1950s, many different techniques were used with a goal of automation of that process. In this work artificial neural networks are explained. Special attention is dedicated to recurrent neural networks and their application in a process of automatic generation of music. Implementation of the system based on LSTM networks is described. Generated results are described and links to the code and listening examples are given.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:665153
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 on2019-03-13 23:48:55