Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora

Lochert, Karlo

prikaz prve stranice dokumenta Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora

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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

Cite this document

APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

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

Harvard

Lochert, K. (2020). 'Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:781677

Vancouver

Lochert K. Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2025 January 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:781677

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:781677

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Metadata

Title	Primjena modela WaveGlow za strojnu tvorbu hrvatskoga govora
Title (english)	Using WaveGlow for Croatian Speech Synthesis
Author	Karlo Lochert
Mentor	Marin Vuković (mentor)
Committee member	Marin Vuković (predsjednik povjerenstva)
Committee member	Renato Šoić (član povjerenstva)
Committee member	Ivona Brajdić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing Zagreb
Defense date and country	2020-07-03, 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)
Language	croatian
URN:NBN	urn:nbn:hr:168:781677
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Closed access
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Created on	2023-01-14 20:59:46