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undergraduate thesis
Osnovna frekvencija signala govora
2020. urn:nbn:hr:190:678778
Gužvić, Vedran
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Intelligent Computing Systems

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Gužvić, V. (2020). Osnovna frekvencija signala govora (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:678778

Gužvić, Vedran. "Osnovna frekvencija signala govora." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:678778

Gužvić, Vedran. "Osnovna frekvencija signala govora." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:678778

Gužvić, V. (2020). 'Osnovna frekvencija signala govora', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 30 April 2024, https://urn.nsk.hr/urn:nbn:hr:190:678778

Gužvić V. Osnovna frekvencija signala govora [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2020 [cited 2024 April 30] Available at: https://urn.nsk.hr/urn:nbn:hr:190:678778

V. Gužvić, "Osnovna frekvencija signala govora", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:190:678778

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Metadata
TitleOsnovna frekvencija signala govora
Title (english)Fundamental frequency of speech signals
AuthorVedran Gužvić
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 country2020-09-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tema ovog rada bila je rezanje rečenica zapisanih u .wav datotekama na difone uz procjenu njihovih osnovnih frekvencija i "pitch" vrijednosti. Kako bi to postigao implementirao sam četiri algoritma za procjenu osnovne frekvencije: Yin, Praat, SWIPE, RAPT. Također uspoređeni su rezultati svih algoritama, u ovom slučaju najbolji se pokazao RAPT zbog svojih robusnih svojstava, te statistički najvećeg broja dobivenih procijenjenih vrijednosti. Dobivene vrijednosti su kasnije pogodne za sintezu govora, jer spajanje uz pomoć osnovnih frekvencija rezultira prirodnijim govorom od spajanja nepovezanih individualnih glasova.
Abstract (english)
The topic of this paper was cutting sentences written in .wav files into diphones with an estimate of their fundamental frequencies and pitch values. To achieve this I implemented four algorithms for estimating the fundamental frequency: Yin, Praat, SWIPE, RAPT. The results of all algorithms were also compared, in this case RAPT proved to be the best due to its robust properties, and for resulting in statistically the largest number of obtained estimated values. The values obtained are later suitable for speech synthesis, because merging with the help of fundamental frequencies results in more natural speech than merging unconnected individual voices.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:678778
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2021-09-30 09:35:20