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master's thesis
Prepoznavanje obilježja glazbe primjenom strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:341915
Malkoč, Marko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Malkoč, M. (2023). Prepoznavanje obilježja glazbe primjenom strojnog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:341915

Malkoč, Marko. "Prepoznavanje obilježja glazbe primjenom strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:341915

Malkoč, Marko. "Prepoznavanje obilježja glazbe primjenom strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:341915

Malkoč, M. (2023). 'Prepoznavanje obilježja glazbe primjenom strojnog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:341915

Malkoč M. Prepoznavanje obilježja glazbe primjenom strojnog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 December 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:341915

M. Malkoč, "Prepoznavanje obilježja glazbe primjenom strojnog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:341915

Metadata
TitlePrepoznavanje obilježja glazbe primjenom strojnog učenja
Title (english)Recognizing music characteristics using machine learning
AuthorMarko Malkoč
MentorMarko Jurčević (mentor)
Committee memberMarko Jurčević (predsjednik povjerenstva)
Committee memberIvan Leniček (član povjerenstva)
Committee memberJure Konjevod (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad se bavi primjenom strojnog učenja na problem procjene emocionalnog doživljaja glazbe. Razmatrane su različite psihološke teorije emocija te psihološka perspektiva odnosa glazbe i emocija. U sklopu rada prikupljen je skup podataka koji glazbenim isječcima dodjeljuje ocjenu emocije. Na tom skupu podatka treniran je model dubokog učenja koji nije uspio postići željene rezultate, vjerojatno zbog male veličine skupa podataka. Razmotreni su različiti načini obrade digitalnih zvučnih signala i na što je potrebno obratiti pozornost prilikom pripreme zvučnih podatka za strojno učenje. Implementirana je aplikacija za korištenje modela koja reproducira zvučnu datoteku, vizualizirajući zvučni signal te pomoću modela procjenjuje prenesenu emociju reproducirane glazbe.
Abstract (english)
The paper deals with the application of machine learning to the problem of assessing the emotional experience of music. Various psychological theories of emotion were examined and the psychological perspective of the relationship between music and emotions was given a closer look. As part of the work, a dataset was collected that assigns an emotion rating to music clips. A deep learning model was trained on that dataset and failed to achieve the desired results, probably due to the small size of the dataset. Different ways of processing digital sound signals are discussed and what needs to be paid attention to when preparing sound data for machine learning. An application has been implemented for using the model. It reproduces a sound file, visualizing the sound signal and uses the model to evaluate the conveyed emotion of the reproduced music.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:341915
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-10-11 09:38:28