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master's thesis
Generator tekstova pjesama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:734719
Torbarina, Lovre
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Torbarina, L. (2020). Generator tekstova pjesama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:734719

Torbarina, Lovre. "Generator tekstova pjesama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:734719

Torbarina, Lovre. "Generator tekstova pjesama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:734719

Torbarina, L. (2020). 'Generator tekstova pjesama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:734719

Torbarina L. Generator tekstova pjesama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 July 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:734719

L. Torbarina, "Generator tekstova pjesama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:734719

Metadata
TitleGenerator tekstova pjesama
Title (english)Song Lyrics Generator
AuthorLovre Torbarina
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu obrađen je problem stvaranja tekstova pjesama s određenom strukturom. Zbog nedostupnosti skupa tekstova pjesama s označenom strukturom definiran je jednostavan algoritam za označavanje strukture teksta pjesme koja je prethodno segmentirana na paragrafe. 55000+ Song Lyrics skup podataka označen je pomoću algoritma kako bi se mogao koristiti u svrhu učenja i vrednovanja modela. Korišteni su sljedeći modeli strojnog učenja: N-gram jezični model, RNN i LSTM neuronske mreže te generativna suparnička mreža SeqGAN. Modeli su vrednovani pomoću tri mjere: zbunjenosti, mjere kvalitete strukture teksta pjesme koja je definirana u ovom radu te Levenshteinove udaljenosti kako bi se mjerila udaljenost između određenih paragrafa. Rad zaključujemo pregledom ostvarenih rezultata navedenih modela nad označenim skupom tekstova pjesama. RNN i LSTM neuronske mreže ostvarile su najbolje rezultate, zatim mreža SeqGAN, a najlošije N-gram jezični model.
Abstract (english)
In this thesis we discuss the problem of generating song lyrics with a certain structure. Due to unavailability of song lyrics dataset with marked lyrics structure, a simple algorithm is defined to mark the structure of the lyrics of a song that has been previously segmented into paragraphs. The algorithm is then used to mark lyrics structure on 55000+ Song Lyrics dataset so the dataset can be used for learning and evaluating models. Following machine learning models were used: N-gram language model, RNN and LSTM recurrent networks and generative adversarial network SeqGAN. The models where evaluated using three measures: perplexity, measure of song lyrics structure defined in this thesis and Levenshtein's distance to measure the distance between certain paragraphs. We conclude the paper by reviewing the achieved results of the mentioned models over the marked lyrics dataset. RNN and LSTM neural networks achieved the best results, followed by the SeqGAN network, and the worst by the N-gram language model.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:734719
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
Access conditionsClosed access
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Created on2023-01-13 09:22:32