prikaz prve stranice dokumenta Automatsko prepoznavanje govornika korištenjem Gaussovih mješavina
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undergraduate thesis
Automatsko prepoznavanje govornika korištenjem Gaussovih mješavina
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:813030
Brlečić, Lidija
University of Zagreb
Faculty of Electrical Engineering and Computing

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Brlečić, L. (2022). Automatsko prepoznavanje govornika korištenjem Gaussovih mješavina (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:813030

Brlečić, Lidija. "Automatsko prepoznavanje govornika korištenjem Gaussovih mješavina." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:813030

Brlečić, Lidija. "Automatsko prepoznavanje govornika korištenjem Gaussovih mješavina." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:813030

Brlečić, L. (2022). 'Automatsko prepoznavanje govornika korištenjem Gaussovih mješavina', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:813030

Brlečić L. Automatsko prepoznavanje govornika korištenjem Gaussovih mješavina [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 June 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:813030

L. Brlečić, "Automatsko prepoznavanje govornika korištenjem Gaussovih mješavina", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:813030

Metadata
TitleAutomatsko prepoznavanje govornika korištenjem Gaussovih mješavina
Title (english)Automatic Speaker Recognition Using Gaussian Mixtures
AuthorLidija Brlečić
MentorDavor Petrinović (mentor)
Committee memberDavor Petrinović (predsjednik povjerenstva)
Committee memberAna Sović Kržić (član povjerenstva)
Committee memberDorotea Potoč (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U ovom radu opisan je postupak identifikacije govornika pomoću formanata govornog signala i modeliranjem Gaussovim mješavinama. Postupak je opisan za 4 govornika na način da su snimljeni izgovori samoglasnika te su iz tih zvučnih zapisa u MATLAB-u izvučene karakteristike formanata. Izgrađeni su modeli s Gaussovim mješavinama za svakog govornika sa ciljem da program identificira govornika iz snimke koja nije korištena za treniranje modela.
Abstract (english)
This paper explains the speaker identification system using formants of the speech signal and Gauss mixture models. The procedure is based on audio recordings in which speakers pronounce 6 vowels, which are then used to extract formant featurs using MATLAB with a total of 4 known speakers. Gauss mixture models are built for each of the speakers with a goal to identify the speaker from the audio recording which was not used in training of the models.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:813030
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-01-14 08:36:13