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master's thesis
Govorne tehnologije u programskom jeziku Python za hrvatski jezik
Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences, 2023. urn:nbn:hr:131:369145
Sirovec, Lucia
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Institutional repository: ODRAZ

Cite this document

Sirovec, L. (2023). Govorne tehnologije u programskom jeziku Python za hrvatski jezik (Master's thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:369145

Sirovec, Lucia. "Govorne tehnologije u programskom jeziku Python za hrvatski jezik." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:131:369145

Sirovec, Lucia. "Govorne tehnologije u programskom jeziku Python za hrvatski jezik." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:131:369145

Sirovec, L. (2023). 'Govorne tehnologije u programskom jeziku Python za hrvatski jezik', Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 27 April 2024, https://urn.nsk.hr/urn:nbn:hr:131:369145

Sirovec L. Govorne tehnologije u programskom jeziku Python za hrvatski jezik [Master's thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2023 [cited 2024 April 27] Available at: https://urn.nsk.hr/urn:nbn:hr:131:369145

L. Sirovec, "Govorne tehnologije u programskom jeziku Python za hrvatski jezik", Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:131:369145

Metadata
TitleGovorne tehnologije u programskom jeziku Python za hrvatski jezik
Title (english)Speech technologies in the Python programming language for the Croatian language
AuthorLucia Sirovec
MentorIvan Dunđer (mentor)
Committee memberSanja Seljan (predsjednik povjerenstva)
Committee memberVjera Lopina (član povjerenstva)
Committee memberIvan Dunđer (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
Defense date and country2023-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
Govorne tehnologije, posebno govor-u-tekst (engl. speech-to-text), zahvaljujući razvitku umjetne inteligencije i posebno neuronskih mreža iznimno su napredovale posljednjih godina i postale ključnim alatom u mnogim područjima, kao i u svakodnevici. Cilj ovog diplomskog rada je opisati kako funkcionira tehnologija pretvaranja govora u tekst. Rad se sastoji od dva dijela. U prvom, teorijskom dijelu bit će navedeni i objašnjeni neki od ključnih izazova s kojima se susrećemo pri stvaranju sustava pretvorbe govora u tekst. Također će se navesti ograničenja i izazovi koji su povezani s tehnologijom pretvaranja govora u tekst te će se opisati razni alati koje je moguće koristiti za pretvorbu govora u tekst. Drugi, praktični dio rada bavit će se korištenjem algoritama za pretvorbu govora u tekst. U radu će se napraviti usporedna analiza i testiranje algoritama u programskom jeziku Python za hrvatski jezik.
Abstract (english)
Speech technologies, especially speech-to-text, thanks to the development of artificial intelligence and especially neural networks, have progressed tremendously in recent years and have become a key tool in many areas, as well as in everyday life. The aim of this master’s thesis is to describe how speech-to-text technology works. The paper consists of two parts. In the first, theoretical part, some of the key challenges we face when creating a speech-to-text conversion system will be listed and explained. It will also outline the limitations and challenges associated with speech-to-text technology and describe the various tools that can be used for speech-to-text. The second, practical part of the paper will deal with the use of algorithms for converting speech into text. In the paper, a comparative analysis and testing of algorithms in the programming language Python for the Croatian language will be done.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:369145
Study programmeTitle: Information Sciences; specializations in: Archivistics Study, Library Science, Information Sciences (research), Information Sciences (teaching), Museology and heritage management, Informatology
Course: Information Sciences (teaching)
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informatike (magistar/magistra edukacije informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-07-11 15:36:40