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undergraduate thesis
Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora
2020. urn:nbn:hr:168:781677
Lochert, Karlo
University of Zagreb
Faculty of Electrical Engineering and Computing

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Lochert, K. (2020). Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:781677

Lochert, Karlo. "Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:781677

Lochert, Karlo. "Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:781677

Lochert, K. (2020). 'Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:781677

Lochert K. Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:781677

K. Lochert, "Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:781677

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Metadata
TitlePrimjena modela WaveGlow za strojnu tvorbu hrvatskoga govora
Title (english)Using WaveGlow for Croatian Speech Synthesis
AuthorKarlo Lochert
MentorMarin Vuković (mentor)
Committee memberMarin Vuković (predsjednik povjerenstva)
Committee memberRenato Šoić (član povjerenstva)
Committee memberIvona Brajdić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Duboke umjetne neuronske mreže pokazale su se kao dobro sredstvo za kvalitetnu strojnu tvorbu govora. Rad daje općenit uvod u umjetne neuronske mreže i načine strojne tvorbe govora. U fokusu je model WaveGlow, koji zajedno s modelom Tacotron2 daje novu perspektivu na kvalitetno sintetiziranje govora iz teksta. Model je primijenjen na setu podataka za hrvatski jezik i prikazani su njegovi rezultati.
Abstract (english)
Deep neural networks showed great results in TTS (Text To Speech) synthesis. This paper gives general introduction to articifial neural networks and speech synthesis. The focus is on model WaveGlow, which together with model Tacotron2 gives a new perspective on quality text to speech synthesis. The model is trained on a croatian language dataset and its results are presented in the paper.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:781677
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 on2023-01-14 20:59:46