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undergraduate thesis
Automatsko prepoznavanje govora u realističnim uvjetima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:899205
Pomper, Anton
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Pomper, A. (2023). Automatsko prepoznavanje govora u realističnim uvjetima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:899205

Pomper, Anton. "Automatsko prepoznavanje govora u realističnim uvjetima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:899205

Pomper, Anton. "Automatsko prepoznavanje govora u realističnim uvjetima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:899205

Pomper, A. (2023). 'Automatsko prepoznavanje govora u realističnim uvjetima', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:899205

Pomper A. Automatsko prepoznavanje govora u realističnim uvjetima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 July 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:899205

A. Pomper, "Automatsko prepoznavanje govora u realističnim uvjetima", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:899205

Metadata
TitleAutomatsko prepoznavanje govora u realističnim uvjetima
Title (english)Automatic Speech Recognition in Realistic Conditions
AuthorAnton Pomper
MentorDavor Petrinović (mentor)
Committee memberDavor Petrinović (predsjednik povjerenstva)
Committee memberDamir Seršić (član povjerenstva)
Committee memberMladen Vučić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom je radu predstavljena kratka povijest razvoja sustava za prepoznavanje govora. Opisane su osnovne metode koje se koriste u sustavu za prepoznavanje govora i njihova ograničenja: skriveni Markovljevi modeli, dinamičko savijanje vremena, neuronske mreže, end-to-end automatsko prepoznavanje govora. U praktičnom dijelu rada testirana su dva novija end-to-end ASR modela, koja se temelje na dubokim neuronskim mrežama, a to su wav2vec 2.0 i komercijalni Amazonov ASR model. Testiranja su provedena na uzorcima „čistog“ i „onečišćennog“, tj. realističnog govora.
Abstract (english)
This paper presents a brief history of the development of speech recognition systems. The basic methods used in the speech recognition system and their limitations are described: hidden Markov models, dynamic time warping, neural networks, end-to-end automatic speech recognition. In the practical part of the paper, two new end-to-end ASR models were tested, which are based on deep neural networks, namely wav2vec 2.0 and the commercial Amazon ASR model. Tests were conducted on samples of "pure" and "contaminated", ie realistic speech.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:899205
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 on2023-10-11 10:11:57