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undergraduate thesis
RASPOZNAVANJE GLAZBENIH UZORAKA
2018. urn:nbn:hr:190:189196
Dujmić, Nea
University of Rijeka
Faculty of Engineering

Cite this document

Dujmić, N. (2018). RASPOZNAVANJE GLAZBENIH UZORAKA (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:189196

Dujmić, Nea. "RASPOZNAVANJE GLAZBENIH UZORAKA." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:189196

Dujmić, Nea. "RASPOZNAVANJE GLAZBENIH UZORAKA." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:189196

Dujmić, N. (2018). 'RASPOZNAVANJE GLAZBENIH UZORAKA', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 05 November 2024, https://urn.nsk.hr/urn:nbn:hr:190:189196

Dujmić N. RASPOZNAVANJE GLAZBENIH UZORAKA [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2018 [cited 2024 November 05] Available at: https://urn.nsk.hr/urn:nbn:hr:190:189196

N. Dujmić, "RASPOZNAVANJE GLAZBENIH UZORAKA", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:190:189196

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Metadata
TitleRASPOZNAVANJE GLAZBENIH UZORAKA
AuthorNea Dujmić
MentorIvo Ipšić (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
Rijeka
Defense date and country2018-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad bavi se temom digitalne obrade glazbenog signala, točnije raspoznavanja glazbenih uzoraka na temelju značajki signala. Raspozavanje glazbenih uzoraka izvedeno je u vremenskofrekvencijskoj domeni te se temelji na vizualizaciji chroma svojstva glazbenog zapisa te spektrograma. Za izradu programskog djela korišteni su monofonski glazbeni zapisi te je osim vizualizacije odrađeno i prepoznavanje između akustične gitare te klavira primjenom grupirajućih algoritama za strojno učenje.
Abstract (english)
Main theme of this bachelor's thesis is digital analysis of music signal, precisely recognition of melodic patterns by extraction of signal features. Recognition of melodic features is resolved in time-frequency domain and it is based on visual representation of the music signal called chromagrams and spectrograms. Production of application part was realised with monophonic music files and apart of visualization it consists also of music intrument recognition using machine learining – clustering algorithms.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:189196
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 on2018-06-12 08:49:21