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undergraduate thesis
Mikrokontrolerski sustav za mjerenje i analizu zvuka
2020. urn:nbn:hr:168:196136
Rudić, Eugen
University of Zagreb
Faculty of Electrical Engineering and Computing

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Rudić, E. (2020). Mikrokontrolerski sustav za mjerenje i analizu zvuka (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:196136

Rudić, Eugen. "Mikrokontrolerski sustav za mjerenje i analizu zvuka." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:196136

Rudić, Eugen. "Mikrokontrolerski sustav za mjerenje i analizu zvuka." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:196136

Rudić, E. (2020). 'Mikrokontrolerski sustav za mjerenje i analizu zvuka', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:196136

Rudić E. Mikrokontrolerski sustav za mjerenje i analizu zvuka [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 December 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:196136

E. Rudić, "Mikrokontrolerski sustav za mjerenje i analizu zvuka", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:196136

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Metadata
TitleMikrokontrolerski sustav za mjerenje i analizu zvuka
Title (english)Microcontroller system for sound measurement and analysis
AuthorEugen Rudić
MentorSiniša Fajt (mentor)
Committee memberSiniša Fajt (predsjednik povjerenstva)
Committee memberKristian Jambrošić (član povjerenstva)
Committee memberMiljenko Krhen (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovim radom uspoređene su značajke uređaja Arduino Rev 3 i Raspbbery Pi 3 B+ te je odabran uređaj koji je po svojim karakteristikama bolji za implementaciju jednostavnog prepoznavanja govora. Nadalje, opisane su teoretske osnove neuronske mreže duge kratkoročne memorije i mel kapstralnih koeficijenata. Oba koncepta koriste se u konačnoj implementaciji rješenja. Komponente i detalji implementacije iznose se na kraju rada.
Abstract (english)
This paper compares the features of the Arduino Rev 3 and Raspbbery Pi 3 B + devices, and a better device was chosen to implement simple speech recognition. The theoretical foundations of long short-term memory neural network and mel of capsular coefficients are described. Both concepts are used in the final implementation of the solution. Components and details of implementation are presented at the end of the paper
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:196136
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 on2023-01-13 16:03:22