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master's thesis
Glasovno upravljanje uređajima
2022. urn:nbn:hr:200:643552
Milković, Filip
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Computer Engineering

Cite this document

Milković, F. (2022). Glasovno upravljanje uređajima (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:643552

Milković, Filip. "Glasovno upravljanje uređajima." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:643552

Milković, Filip. "Glasovno upravljanje uređajima." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2022. https://urn.nsk.hr/urn:nbn:hr:200:643552

Milković, F. (2022). 'Glasovno upravljanje uređajima', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 21 March 2023, https://urn.nsk.hr/urn:nbn:hr:200:643552

Milković F. Glasovno upravljanje uređajima [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2023 March 21] Available at: https://urn.nsk.hr/urn:nbn:hr:200:643552

F. Milković, "Glasovno upravljanje uređajima", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:200:643552

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Metadata
TitleGlasovno upravljanje uređajima
Title (english)Control devices by voice
AuthorFilip Milković
MentorIvan Vidović (mentor)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Computer Engineering)
Osijek
Defense date and country2022-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
U ovom diplomskom radu opisano je korištenje neuronske mreže za glasovno upravljanje uređajima koji su spojeni preko Raspberry Pi računala. Problem glasovnog upravljanja rješava se na dva načina. U prvom načinu korišteni su gotovi Python moduli koji sadrže sve potrebno za obradu glasovnih naredbi. Za razliku od prvog, u drugom načinu je dizajnirana vlastita neuronska mreža koja je integrirana s Python aplikacijom koja upravlja uređajima preko glasovnih naredbi.
Abstract (english)
This thesis describes the use of a neural network for voice control of devics connected via a Raspberry Pi computer. The problem of voice control is solved in two ways. In the first method existing Python modules were used, which contain everything necessary for processing voice commands. Unlike the first, the second method has it's own neural network that is integrated with Python application for controlling devices via voice commands.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:643552
Study programmeTitle: UNIVERSITY STUDY AUTOMOBILE COMPUTER AND COMMUNICATION
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija (magistar/magistra inženjer/inženjerka automobilskog računarstva i komunikacija)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-10-19 08:10:43