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master's thesis
Sustav glasovnih naredbi u upravljanju baziran na Android platformi
2021. urn:nbn:hr:179:950938
Jerković, Antonio
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Jerković, A. (2021). Sustav glasovnih naredbi u upravljanju baziran na Android platformi (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:950938

Jerković, Antonio. "Sustav glasovnih naredbi u upravljanju baziran na Android platformi." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:950938

Jerković, Antonio. "Sustav glasovnih naredbi u upravljanju baziran na Android platformi." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:950938

Jerković, A. (2021). 'Sustav glasovnih naredbi u upravljanju baziran na Android platformi', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 29 January 2025, https://urn.nsk.hr/urn:nbn:hr:179:950938

Jerković A. Sustav glasovnih naredbi u upravljanju baziran na Android platformi [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2025 January 29] Available at: https://urn.nsk.hr/urn:nbn:hr:179:950938

A. Jerković, "Sustav glasovnih naredbi u upravljanju baziran na Android platformi", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:950938

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Metadata
TitleSustav glasovnih naredbi u upravljanju baziran na Android platformi
Title (english)Voice command management system based on the Arduino platform
AuthorAntonio Jerković
MentorSven Gotovac (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2021-09-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Glasovno prepoznavanje jedna je od grana računarstva koja je u zadnje vrijeme doživjela veliki procvat. Glasovne se naredbe uvelike koriste u svakodnevnom životu, a broj uređaja koji ih podržava će se nastaviti povećavati iz godine u godinu. Praktični dio diplomskog rada demonstrira kako je za malu cijenu moguće napraviti sklop temeljen na glasovnom upravljanju. U radu je prikazana povijest glasovnog upravljanja te su objašnjeni često korišteni modeli na kojima počiva samo upravljanje. Obrađen je problem šumova koji se pojavljuje u zvučnim zapisima te su prikazani najčešće korišteni filteri za uklanjanje istih.
Abstract (english)
Voice recognition is one of the subfields of computer science that has been on a rise recently. Voice commands are widely used in day-to-day life and number of devices which support them will keep on increasing year by year. The Practical part of this thesis is to demonstrate how it's possible to create voice recognition hardware for a low cost. The history of voice recognition is also covered in the thesis as well as the most commonly used voice recognition models. The issue of noisy samples is discussed, and the way the most common filters work is explained.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:950938
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2022-07-08 11:05:16