prikaz prve stranice dokumenta STATISTIČKI MODELI VEKTORA ZNAČAJKI GOVORA
Access restricted to students and staff of home institution
undergraduate thesis
STATISTIČKI MODELI VEKTORA ZNAČAJKI GOVORA
2017. urn:nbn:hr:190:834592
Mihel, Anna Maria
University of Rijeka
Faculty of Engineering

Cite this document

Mihel, A. M. (2017). STATISTIČKI MODELI VEKTORA ZNAČAJKI GOVORA (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:834592

Mihel, Anna Maria. "STATISTIČKI MODELI VEKTORA ZNAČAJKI GOVORA." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2017. https://urn.nsk.hr/urn:nbn:hr:190:834592

Mihel, Anna Maria. "STATISTIČKI MODELI VEKTORA ZNAČAJKI GOVORA." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2017. https://urn.nsk.hr/urn:nbn:hr:190:834592

Mihel, A. M. (2017). 'STATISTIČKI MODELI VEKTORA ZNAČAJKI GOVORA', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 27 April 2024, https://urn.nsk.hr/urn:nbn:hr:190:834592

Mihel AM. STATISTIČKI MODELI VEKTORA ZNAČAJKI GOVORA [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2017 [cited 2024 April 27] Available at: https://urn.nsk.hr/urn:nbn:hr:190:834592

A. M. Mihel, "STATISTIČKI MODELI VEKTORA ZNAČAJKI GOVORA", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:190:834592

Please login to the repository to save this object to your list.
Metadata
TitleSTATISTIČKI MODELI VEKTORA ZNAČAJKI GOVORA
AuthorAnna Maria Mihel
MentorIvo Ipšić (mentor)
Committee memberViktor Sučić (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
Završni rad bavi se prikazom statističkih modela vektora značajki govora. Glavni program tj. bash skripta objedinjuje sve programe, radi konverziju iz .wav u .raw format, reže glasove iz glavne zvučne datoteke, računa koeficijente linearne predikcije i kepstralne koeficijente za svaki glas. Koristeći .raw datoteke u float formatu računaju se srednje vrijednosti vektora i matrice kovarijacije. Na temelju izračunatih LPC koeficijenata i srednjih vrijednosti vektora uz razvojnu okolinu Spyder, grafički se prikazuje pozicioniranje glasova u 2D i 3D prostoru.
Abstract (english)
This thesis deals with the display of statistical models of speech signal vectors. The main program ie. bash script consolidates all programs, converts .wav to .raw format, cuts voices from the main sound file, computes linear prediction coefficients and cepstral coefficients for each voice. Using .raw files in float format computes vector mean value and covariance matrix. On the base of calculated LPC coefficients and vector mean values with interactive development environment Spyder, graphically shows positioning of voices in 2D and 3D space.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:834592
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 12:54:32