prikaz prve stranice dokumenta Kodiranje govornog signala
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undergraduate thesis
Kodiranje govornog signala
2022. urn:nbn:hr:179:549454
Čarija, Karlo
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Čarija, K. (2022). Kodiranje govornog signala (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:549454

Čarija, Karlo. "Kodiranje govornog signala." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:549454

Čarija, Karlo. "Kodiranje govornog signala." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:549454

Čarija, K. (2022). 'Kodiranje govornog signala', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 26 April 2024, https://urn.nsk.hr/urn:nbn:hr:179:549454

Čarija K. Kodiranje govornog signala [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 April 26] Available at: https://urn.nsk.hr/urn:nbn:hr:179:549454

K. Čarija, "Kodiranje govornog signala", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:549454

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Metadata
TitleKodiranje govornog signala
Title (english)Speech signal coding
AuthorKarlo Čarija
MentorJoško Radić https://orcid.org/0000-0003-0518-5422 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-09-22, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electronics
Abstract
Kodiranje govora je potrebno u svrhu prijenosa ljudskog govora u digitalnom obliku. Želja je da nakon dekodiranja signala, bude približno iste kvalitete kao što je u izvornom obliku. Kroz komunikacijski kanal moguća je prisutnost interferencija ili šumova koji mogu utjecat na naš signal. Upravo se redundancijom signala omogućava bezbrižan prijenos i robusnost na greške. Naravno, u procesu digitalnog govora, ovakav oblik kodiranja je tehnika s gubitkom i stoga izlazni signal ne zvuči jednako kao i ulazni signal. U ovom radu su obrađene sljedeće tehnike kodiranja govornog signala: linearno prediktivno kodiranje (LPC), code excited linear prediction (CELP), adaptive differential pulse code modulation (ADPCM) i vektorska kvantizacija. LPC i CELP metode su proučene uz pomoć MATLAB kako bi se provjerile njihove učinkovitosti u kodiranju kao i rezultat kvalitete govora koje pružaju sa svojom tehnikom. Izvršena je subjektivna evaluacija kvaliteta govora, u kojoj prema MOS tablici CELP tehnika je zadovoljavajuća od LPC.
Abstract (english)
Speech coding is necessary to represent human speech in a digital form. It is wanted that after decoding signal it is to be approximately the same quality as the original one. Through communication channel the presence of noises or interference is possible that could impact our signal. It is the signal redundancy that enables worry-free transmission and robustness to errors. Of course, in the digital speech process, this form of coding is a lossy technique and therefore the output signal does not sound the same as the input signal. The following speech signal coding techniques are covered in this paper: linear predictive coding (LPC), code excited linear prediction (CELP), adaptive differential pulse code modulation (ADPCM) and vector quantization. LPC and CELP methods are studied with the help of MATLAB to check their performance measures in encoding and as the result the quality of speech they provide with their techniques. A subjective evaluation of speech quality was performed, in which according to the MOS table CELP technique is more satisfying than the LPC.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:549454
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-03-23 11:02:48