prikaz prve stranice dokumenta Klasikacija segmenata signala govora u zvučne i bezvučne
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undergraduate thesis
Klasikacija segmenata signala govora u zvučne i bezvučne
2017. urn:nbn:hr:190:301735
Polonijo, Toni
University of Rijeka
Faculty of Engineering

Cite this document

Polonijo, T. (2017). Klasikacija segmenata signala govora u zvučne i bezvučne (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:301735

Polonijo, Toni. "Klasikacija segmenata signala govora u zvučne i bezvučne." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2017. https://urn.nsk.hr/urn:nbn:hr:190:301735

Polonijo, Toni. "Klasikacija segmenata signala govora u zvučne i bezvučne." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2017. https://urn.nsk.hr/urn:nbn:hr:190:301735

Polonijo, T. (2017). 'Klasikacija segmenata signala govora u zvučne i bezvučne', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:301735

Polonijo T. Klasikacija segmenata signala govora u zvučne i bezvučne [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2017 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:190:301735

T. Polonijo, "Klasikacija segmenata signala govora u zvučne i bezvučne", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:190:301735

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Metadata
TitleKlasikacija segmenata signala govora u zvučne i bezvučne
AuthorToni Polonijo
MentorIvo Ipšić (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
Rijeka
Defense date and country2017-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U radu je koristeći programe napisane u C programskom jeziku izvršena klasifikacija kratkotrajnih segmenata govornog signala na zvučne, bezvučne i tišinu. Za klasifikaciju su odabrane brzina prijelaza kroz nulu, kratkotrajna energija signala i kvadrirana autokorelacija. Uspješnost klasikacije je zadovoljavajuća, uz mogućnost nadograđivanja dodatnim značajkama.
Abstract (english)
Using programs written in C programming language, speech signal segments are classied to voiced speech, unvoiced speech and silence. Functions used for classification are zero crossing rate, short-time signal energy and quadratic autocorrelation. Success of classification is adequate, with possibility of upgrading program with additional functions.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:190:301735
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 on2017-11-03 13:01:55