Thesis Details

Počítačem komponovaný hudební doprovod

Bachelor's Thesis Student: Vinš Jakub Academic Year: 2019/2020 Supervisor: Kolář Martin, Ph.D.
Language
Slovak
Abstract

This thesis deals with problems of computer music, especially with generating accompaniment to an existing song in MIDI format by means of artificial neural networks. Existing methods of algorithmic music composition are presented in the beginning. Followed by problems and their solutions connected with the conversion of MIDI files to matrices, which are suitable as an input for neural network and their inverse transformation. Subsequently are proposed, created, optimized and evaluated models which generate saxophone and piano accompaniment by means of feedforward and recurrent neural network. At the end model generates accompaniment to my own song as a form of a test.

Keywords

computer music, harmonization, MIDI, piano roll, feedforward neural network, recurrent neural network, LSTM, saxophone, piano

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
13 July 2020
Reviewer
Hradiš Michal, Ing., Ph.D.
Committee
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), předseda
Grégr Matěj, Ing., Ph.D. (DIFS FIT BUT), člen
Hradiš Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Kekely Lukáš, Ing., Ph.D. (DCSY FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Citation
VINŠ, Jakub. Počítačem komponovaný hudební doprovod. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-13. Supervised by Kolář Martin. Available from: https://www.fit.vut.cz/study/thesis/22317/
BibTeX 
@bachelorsthesis{FITBT22317,
    author = "Jakub Vin\v{s}",
    type = "Bachelor's thesis",
    title = "Po\v{c}\'{i}ta\v{c}em komponovan\'{y} hudebn\'{i} doprovod",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/22317/"
}

Theses

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