Uporaba strojnega učenja za določanje spremljevalnih akordov iz osnovne melodije

Abstract

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Language:	Slovenian
Year of publishing:	2014
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FRI - Faculty of Computer and Information Science
Publisher:	[J. Bergant]
UDC:	004.85(043.2)
COBISS:	10635092
Views:	58
Downloads:	6
Average score:	0 (0 votes)
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Secondary language:	English
Secondary title:	Using machine learning for determining accompanying chords from main melody
Secondary 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.
Secondary keywords:	machine learning;comparison;accompanying chords;main melody;MIDI;The Beatles;computer science;computer and information science;diploma;
File type:	application/pdf
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages:	84 str.
ID:	24215087