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master's thesis
Raspoznavanje emocija iz zvučnih snimki govora
2022. urn:nbn:hr:200:381902
Zagoršćak, Martin
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

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Zagoršćak, M. (2022). Raspoznavanje emocija iz zvučnih snimki govora (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:381902

Zagoršćak, Martin. "Raspoznavanje emocija iz zvučnih snimki govora." 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:200:381902

Zagoršćak, Martin. "Raspoznavanje emocija iz zvučnih snimki govora." 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:200:381902

Zagoršćak, M. (2022). 'Raspoznavanje emocija iz zvučnih snimki govora', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 23 April 2024, https://urn.nsk.hr/urn:nbn:hr:200:381902

Zagoršćak M. Raspoznavanje emocija iz zvučnih snimki govora [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2022 [cited 2024 April 23] Available at: https://urn.nsk.hr/urn:nbn:hr:200:381902

M. Zagoršćak, "Raspoznavanje emocija iz zvučnih snimki govora", 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:200:381902

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Metadata
TitleRaspoznavanje emocija iz zvučnih snimki govora
Title (english)Emotion recognition from recorded speech
AuthorMartin Zagoršćak
MentorBruno Zorić (mentor)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2022-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
U teorijskom dijelu rada opisan je problem raspoznavanja emocija. Dan je prikaz modela emocija te njihovo raspoznavanje i utjecaj na komunikaciju. Detaljnije je opisano računalno raspoznavanje emocija s korištenim postupcima, prikupljanje i predobrada podataka, izdvajanje značajki iz snimki govora i često korišteni klasifikatori. Opisana je mogućnost korištenja modela raspoznavanja emocija na Android platformi te su navedena već postojeća rješenja. U eksperimentalnom dijelu odrađen je postupak klasifikacije glasovnog zapisa. Na temelju spoznaja prikazanih u prvom dijelu rada, radi važnosti raspoznavanja emocija pri interakciji s računalnim sustavom, izrađeno je programsko rješenje za Android platformu. Programsko rješenje omogućuje raspoznavanje emocije iz snimke govore te prikaz informacija u svrhu unaprjeđivanja emocionalne inteligencije i prikaz raspoznatih emocija u posljednjih 7 dana. S tim ciljem, provedena je eksperimentalna analiza unutar koje su uspoređeni klasifikatori i baze podataka.
Abstract (english)
Emotion recognition from recorded speech In the theoretical part of the thesis, the problem of emotion recognition is described. The model of emotions together with their recognition and influence on communication are presented. Computer recognition of emotions with the procedures used, data collection and preprocessing, feature extraction from speech recordings and frequently used classifiers are described in detail. The possibility of using the emotion recognition model on the Android platform is described and already existing solutions are listed. In the experimental part, the voice recording classification procedure was performed. Based on the findings presented in the first part of the thesis, due to the importance of recognizing emotions when interacting with a computer system, a software solution for the Android platform was created. The software solution enables the recognition of emotions from speech recordings and also displays information about recognized emotion for the purpose of improving emotional intelligence. It also displays recognized emotions in the last 7 days. With this purpose, an experimental analysis was carried out in which classifiers and databases were compared. Keywords: Android application, audio features, speech emotion recognition, classification, machine learning
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:381902
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-12-12 12:30:12