Thesis Details

Automatické skládaní klasické hudby

Bachelor's Thesis Student: Majer Marek Academic Year: 2016/2017 Supervisor: Beneš Karel, Ing.
English title
Automatic Composition of Classical Music
Language
Czech
Abstract

This document describes using recurrent neural networks for generating clasicial piano music. It also mentions various settings for model, how to work with data and the results from studying recurrent neural networks.

Keywords

Recurrent neural networks, music generation, piano

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade E
Date
14 June 2017
Reviewer
Černocký Jan, prof. Dr. Ing.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Zachariášová Marcela, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
MAJER, Marek. Automatické skládaní klasické hudby. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-14. Supervised by Beneš Karel. Available from: https://www.fit.vut.cz/study/thesis/19551/
BibTeX 
@bachelorsthesis{FITBT19551,
    author = "Marek Majer",
    type = "Bachelor's thesis",
    title = "Automatick\'{e} skl\'{a}dan\'{i} klasick\'{e} hudby",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/19551/"
}

Theses

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