prikaz prve stranice dokumenta Prepoznavanje hrvatskih riječi pomoću Nao robota
No public access
master's thesis
Prepoznavanje hrvatskih riječi pomoću Nao robota
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:977401
Bagić, Matija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Bagić, M. (2014). Prepoznavanje hrvatskih riječi pomoću Nao robota (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:977401

Bagić, Matija. "Prepoznavanje hrvatskih riječi pomoću Nao robota." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:977401

Bagić, Matija. "Prepoznavanje hrvatskih riječi pomoću Nao robota." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:977401

Bagić, M. (2014). 'Prepoznavanje hrvatskih riječi pomoću Nao robota', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:977401

Bagić M. Prepoznavanje hrvatskih riječi pomoću Nao robota [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 May 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:977401

M. Bagić, "Prepoznavanje hrvatskih riječi pomoću Nao robota", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:977401

Metadata
TitlePrepoznavanje hrvatskih riječi pomoću Nao robota
Title (english)Recognition of Croatian words with NAO Robot
AuthorMatija Bagić
MentorStjepan Bogdan (mentor)
Committee memberStjepan Bogdan (predsjednik povjerenstva)
Committee memberZdenko Kovačić (član povjerenstva)
Committee memberIvana Palunko (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu osmišljen je sustav za prepoznavanje glasovnih naredbi za NAO robota. Implementirane su glavne komponente takvog sustava. Osmišljen je i implementiran sustav za prikupljanje glasovnih naredbi u formi web aplikacije. Uspoređena su dva postupka ekstrakcije značajki iz zvučnih zapisa, te su mel-frekvencijski kepstralni koeficijenti odabrani zbog manje vremenske složenosti. Odabrana su tri klasifikatora - stroj s potpornim vektorima, k najbližih susjeda te nasumična šuma. Sva tri klasifikatora evaluirana su na istom skupu primjera, te je zaključeno kako najbolje performanse pokazuje stroj s potpornim vektorima. Cijeli sustav implementiran je u programskom jeziku Python uz korištenje više pomoćnih modula.
Abstract (english)
The paper describes a speech-recognition system for the NAO robot. The main components of such a system have been developed and implemented. The system is comprised of a speech recording web application, feature-extraction and classification. Linear predictive coding (LPC) and mel-frequency cepstral coefficients (MFCC) have been compared as two possible feature-extraction procedures, and the MFCC was chosen as the faster one. Three classification algorithms have been compared - k Nearest Neighbours (kNN), Support Vector Machine (SVM) and Random Forest, and SVM was chosen for the highest prediction accuracy. The whole system was implemented in the Python programming language, using a number of modules.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:977401
Study programmeTitle: Computing
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 conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2018-02-06 07:41:06