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Uporaba strojnega učenja za določanje spremljevalnih akordov iz osnovne melodije : diplomsko delo
ID Bergant, Jure (Author), ID Kononenko, Igor (Mentor) More about this mentor... This link opens in a new window, ID Bosnić, Zoran (Co-mentor)

URLURL - Presentation file, Visit http://eprints.fri.uni-lj.si/2569/ This link opens in a new window

Abstract
Z uporabo strojnega učenja se napovedujejo spremljevalni akordi za spremljavo osnovne melodije. Na zbirki skladb skupine The Beatles je primerjana uspešnost napovedovanja akordov z izbranimi algoritmi strojnega učenja. Vhodni podatki so datoteke MIDI. Zgradi se več različic učnih primerov, ki na različne načine opisujejo skladbo. Zgradi se nova datoteka MIDI, ki omogoča poslušanje izvorne melodije skladbe z napovedanimi akordi sistema. Za izbrano skladbo uspešno napovemo spremljevalne akorde, za splošno uporabo bi opisana metoda potrebovala izboljšave.

Language:Slovenian
Keywords:strojno učenje, primerjanje, spremljevalni akordi, osnovna melodija, MIDI, The Beatles, računalništvo, računalništvo in informatika, univerzitetni študij, diplomske naloge
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Publisher:[J. Bergant]
Year:2014
Number of pages:84 str.
PID:20.500.12556/RUL-68486 This link opens in a new window
UDC:004.85(043.2)
COBISS.SI-ID:10635092 This link opens in a new window
Publication date in RUL:10.07.2015
Views:1191
Downloads:172
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Secondary language

Language:English
Title:Using machine learning for determining accompanying chords from main melody
Abstract:
This work uses machine learning for determining accompanying chords from main melody. The results of machine learning algorithms trained on music of The Beatles are compared. The music iz given in MIDI format. Different versions of training examples are used to build models and the results are compared. A MIDI file containg the melody from original song with the predicted accompanying chords as predicted by the developed system is built. The predicted accompanying chords for the selected song are satisfying. The method used in this work could be used for building an end-user application, although it would need further optimization.

Keywords:machine learning, comparison, accompanying chords, main melody, MIDI, The Beatles, computer science, computer and information science, diploma

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