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undergraduate thesis
Klasifikacija segmenata signala govora
2018. urn:nbn:hr:190:963825
Božičević, Filip
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Intelligent Computing Systems

Cite this document

Božičević, F. (2018). Klasifikacija segmenata signala govora (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:963825

Božičević, Filip. "Klasifikacija segmenata signala govora." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:963825

Božičević, Filip. "Klasifikacija segmenata signala govora." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:963825

Božičević, F. (2018). 'Klasifikacija segmenata signala govora', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 30 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:963825

Božičević F. Klasifikacija segmenata signala govora [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2018 [cited 2024 November 30] Available at: https://urn.nsk.hr/urn:nbn:hr:190:963825

F. Božičević, "Klasifikacija segmenata signala govora", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:190:963825

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Metadata
TitleKlasifikacija segmenata signala govora
Title (english)Classification of speech signal segments
AuthorFilip Božičević
MentorIvo Ipšić (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Intelligent Computing Systems)
Rijeka
Defense date and country2018-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U završnom radu je predstavljen program koji raspoznaje glasove u audio zapisima. Na primjer ako govornik izgovori riječ vrijeme program bi trebao prepoznati da se radi o glasovima v,r,i,j,e,m,e. Raspoznavanje se temelji na linearnom koeficijentu predikcije kojeg dobivamo iz ulaznih datoteka te, onda te vektore linearne koeficijente uspoređujemo s vektorima srednjih vrijednosti linearnih koeficijenata predikcije pojedinih glasova. Uspoređujemo na način da tražimo najmanju udaljenost između dva uzorka, preko formule za Euklidsku udaljenost, i tako odlučujemo o kojem se glasu radi.
Abstract (english)
Thesis goal iz to write a program with speech recognition abilities from audio recordings. In example if speaker says word vrijeme program should recognize sounds v,r,i,j,e,m,e. Linear prediction coefficient is used for comparisson between vectors of coefficients calculated from entry files and files that are used for inspection. Comparisson is made with formula for Eucklidean distance, shorter the distance more certain we are that is sound we are looking for.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:963825
Study programmeTitle: Computer Engineering
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
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2018-10-02 08:13:04