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master's thesis
Primjena strojnog učenja u optimizaciji prstometa za klavir
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:275293
Milde, Dominik
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Milde, D. (2023). Primjena strojnog učenja u optimizaciji prstometa za klavir (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:275293

Milde, Dominik. "Primjena strojnog učenja u optimizaciji prstometa za klavir." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:275293

Milde, Dominik. "Primjena strojnog učenja u optimizaciji prstometa za klavir." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:275293

Milde, D. (2023). 'Primjena strojnog učenja u optimizaciji prstometa za klavir', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:275293

Milde D. Primjena strojnog učenja u optimizaciji prstometa za klavir [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:275293

D. Milde, "Primjena strojnog učenja u optimizaciji prstometa za klavir", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:275293

Metadata
TitlePrimjena strojnog učenja u optimizaciji prstometa za klavir
Title (english)Machine learning in piano fingering optimization
AuthorDominik Milde
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberMarko Đurasević (član povjerenstva)
Committee memberLeonardo Jelenković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-07, Croatia
Abstract
U ovom radu problem optimizacije klavirskog prstometa opisan je kao problem strojnog učenja. Rad pruža uvid u dosadašnje pristupe rješavanja ovog problema. Opisani su osnovni koncepti strojnog učenja, neuronskih mreža na grafovima, sequence-to-sequence modela te korištenih skupovi podataka - ThumbSet i Piano Fingering Dataset. Ostvaren je programski okvir za ispitivanje postupaka strojnog učenja u primjeni na navedeni problem. Kroz eksperimente ocijenjena je učinkovitost postupaka strojnog učenja s obzirom na parametre algoritma učenja i raspoložive skupove podataka.
Abstract (english)
In this paper, the problem of piano fingering optimization is described as a machine learning problem. The work provides an insight into the current approaches to solving this problem. The basic concepts of machine learning, neural networks on graphs, sequence-to-sequence models and the data sets used - ThumbSet and Piano Fingering Dataset are described. A program framework for testing machine learning procedures in application to the stated problem was created. Through experiments, the effectiveness of machine learning procedures was evaluated with regard to the parameters of the learning algorithm and the available datasets.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:275293
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
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Created on2023-10-11 09:50:35