Uporaba strojnega učenja za določanje spremljevalnih akordov iz osnovne melodije

Povzetek

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Podatki

Jezik:	Slovenski jezik
Leto izida:	2014
Tipologija:	2.11 - Diplomsko delo
Organizacija:	UL FRI - Fakulteta za računalništvo in informatiko
Založnik:	[J. Bergant]
UDK:	004.85(043.2)
COBISS:	10635092
Št. ogledov:	58
Št. prenosov:	6
Ocena:	0 (0 glasov)
Metapodatki:

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Sekundarni jezik:	Angleški jezik
Sekundarni naslov:	Using machine learning for determining accompanying chords from main melody
Sekundarni povzetek:	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.
Sekundarne ključne besede:	machine learning;comparison;accompanying chords;main melody;MIDI;The Beatles;computer science;computer and information science;diploma;
Vrsta datoteke:	application/pdf
Vrsta dela (COBISS):	Diplomsko delo/naloga
Komentar na gradivo:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Strani:	84 str.
ID:	24215087