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Title:Primerjava formatov izgubnega stiskanja avdia glede na metriko PEAQ : diplomsko delo
Authors:ID Rezar, Gregor (Author)
ID Kohek, Štefan (Mentor) More about this mentor... New window
ID Podgorelec, David (Comentor)
Files:.pdf UN_Rezar_Gregor_2026.pdf (1,63 MB)
MD5: ACC2E63AA52D44F2DD5A2109FB3A8964
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo preučili delovanje kodekov pri izgubnem stiskanju avdio posnetkov pri formatih MP3, Opus, WMA, AAC, OGG Vorbis in AC-3. S pomočjo vrednosti ODG algoritma PEAQ smo ocenili, kateri format je bil bolj učinkovit. Za obdelavo 120 posnetkov smo implementirali avtomatizirano rešitev v Pythonu. Program je opravil pretvorbo v izbrane formate in nato samodejno izvedel analizo kakovosti na podlagi algoritma PEAQ. Vsi avdio posnetki so temeljili na enotni vzorčevalni frekvenci 48 kHz, kar je zagotovilo konsistentnost in primerljivost rezultatov. Na podlagi izvedenih testiranj smo primerjali učinkovitost posameznih kodekov glede na stopnjo stiskanja, zaznano kakovost in časovno zahtevnost. Ugotovili smo, da sta se najbolje odrezala Opus in OGG Vorbis.
Keywords:avdiokodek, FFmpeg, izgubno stiskanje, kakovost zvoka, PEAQ
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[G. Rezar]
Year of publishing:2026
Number of pages:1 spletni vir (1 datoteka PDF (XI, 43 str.))
PID:20.500.12556/DKUM-97644 New window
UDC:004.627.057:004.4'277.4(043.2)
COBISS.SI-ID:280895491 New window
Publication date in DKUM:29.05.2026
Views:143
Downloads:9
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:28.03.2026

Secondary language

Language:English
Title:Comparison of lossy audio compression formats based on the PEAQ metric
Abstract:In this thesis, we examined the performance of codecs for lossy audio compression across formats such as MP3, Opus, WMA, AAC, OGG Vorbis, and AC-3. Using the ODG values provided by the PEAQ algorithm, we evaluated which formats proved more efficient. To process 120 audio sequences, we implemented an automated solution in Python. The program carried out the conversion into selected formats and then automatically performed quality analysis based on the PEAQ algorithm. All audio sequences were encoded at a uniform sampling rate of 48 kHz, ensuring consistency and comparability of results. Based on the conducted tests, we compared the efficiency of individual codecs in terms of compression ratio, perceived quality, and computational complexity. The analysis showed that Opus and OGG Vorbis achieved the best overall performance.
Keywords:audio codecs, FFmpeg, lossy compression, audio quality, PEAQ


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