prikaz prve stranice dokumenta Proširenje baze govornih snimaka VEPRAD
Access restricted to students and staff of home institution
undergraduate thesis
Proširenje baze govornih snimaka VEPRAD
2021. urn:nbn:hr:190:184777
Battelli, Piero
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Intelligent Computing Systems

Cite this document

Battelli, P. (2021). Proširenje baze govornih snimaka VEPRAD (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:184777

Battelli, Piero. "Proširenje baze govornih snimaka VEPRAD." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:184777

Battelli, Piero. "Proširenje baze govornih snimaka VEPRAD." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2021. https://urn.nsk.hr/urn:nbn:hr:190:184777

Battelli, P. (2021). 'Proširenje baze govornih snimaka VEPRAD', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 09 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:184777

Battelli P. Proširenje baze govornih snimaka VEPRAD [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2021 [cited 2024 November 09] Available at: https://urn.nsk.hr/urn:nbn:hr:190:184777

P. Battelli, "Proširenje baze govornih snimaka VEPRAD", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:190:184777

Please login to the repository to save this object to your list.
Metadata
TitleProširenje baze govornih snimaka VEPRAD
Title (english)Expansion of the Speech Database VEPRAD
AuthorPiero Battelli
MentorIvo Ipšić (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
Committee memberIvo Ipšić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Intelligent Computing Systems)
Rijeka
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovim radom nastoji se na što jednostavniji način opisati što je to zapravo raspoznavanje govora i u kakve se svrhe koristi te povijest razvoja same discipline. Opisuju se ključni alati korišteni za raspoznavanje govora ili izradu vlastitog SRE, a ukratko je opisan čitav postupak izrade akustičnog modela koji objedinjuje prikupljanje i pripremu podataka, izradu monofonih HMM te izradu trifona povezanih stanja kako bi se povećala preciznost i efikasnost raspoznavanja. Pomoću datoteka dobivenih kao rezultat rada moguće je raspoznavati trenirane riječi, a i vrlo lako implementirati razne aplikacije koje se temelje na istome poput “dialog manager-a”.
Abstract (english)
This thesis tries to explain what speech recognition is, its uses and a brief history of its development. A description of the key tools used for speech recognition or the creation of your own speech recognition engine SRE is given alongside a brief description of the entire process used to build an acoustic model which includes the gathering and preparation of data, generating monophone HMM and generating tiedstate triphones to increase recognition accuracy and efficiency. Using the data we’ve gathered as a result of the process we can recognise the “trained” words or phrases but also easily implement different applications based on speech recognition such as a simple dialog manager.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:184777
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 on2021-10-13 06:41:57