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undergraduate thesis
Automatsko prepoznavanje govora u višejezičnim uvjetima
2022. urn:nbn:hr:168:989604
Ujčić, Lukas
University of Zagreb
Faculty of Electrical Engineering and Computing

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Ujčić, L. (2022). Automatsko prepoznavanje govora u višejezičnim uvjetima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:989604

Ujčić, Lukas. "Automatsko prepoznavanje govora u višejezičnim uvjetima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:989604

Ujčić, Lukas. "Automatsko prepoznavanje govora u višejezičnim uvjetima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:989604

Ujčić, L. (2022). 'Automatsko prepoznavanje govora u višejezičnim uvjetima', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:989604

Ujčić L. Automatsko prepoznavanje govora u višejezičnim uvjetima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:989604

L. Ujčić, "Automatsko prepoznavanje govora u višejezičnim uvjetima", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:989604

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Metadata
TitleAutomatsko prepoznavanje govora u višejezičnim uvjetima
Title (english)Automatic Speech Recognition in Multilingual Conditions
AuthorLukas Ujčić
MentorDavor Petrinović (mentor)
Committee memberDavor Petrinović (predsjednik povjerenstva)
Committee memberAna Sović Kržić (član povjerenstva)
Committee memberDorotea Potoč (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Pregled tehnologije automatskog prepoznavanja govora (ASR) i tehnologije iza XLS-R višejezičnog modela. Evaluacija nekoliko istreniranih XLS-R modela koristeći FLEURS-ASR podatkovni set u zero-shot i many-shot uvjetima te usporedba dobivenih rezultata za jezike u istim i različitim jezičnim grupama. Usporedba benefita i nedostataka XLS-R višejezičog modela i drugih višejezičnih modela sa jednojezičnim modelima koji su prevladavaju danas.
Abstract (english)
An overview of automatic speech recognition (ASR) technology and the technology behind the XLS-R multilingual model. Evaluation of several trained XLS-R models using FLEURS-ASR dataset in zero-shot and many-shot conditions and comparison of the obtained results for languages in both same and different language groups. Comparison of benefits and drawbacks of XLS-R multilingual model and other multilingual models compared to monolingual models that are prevalenttoday.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:989604
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 on2023-01-15 11:23:49