Národní úložiště šedé literatury Nalezeno 1 záznamů.  Hledání trvalo 0.01 vteřin. 
Music composition using artificial intelligence methods
Vendrame, Katia ; Dvořák, Jiří (oponent) ; Matoušek, Radomil (vedoucí práce)
This research delves into methods for automatic music composition, with a spe- cific emphasis on evolutionary algorithms and neural networks. It examines the potential correlation and discourse between musicology theories and automatic mu- sic composition, as well as its foundation in musical tradition. The study focuses on three algorithms utilized for generating short monophonic melodies stylistically based on given datasets or the user’s requirments: probabilistic grammar evolution, genetic algorithms, and LSTM models. The practical part of this work showcases the application of these algorithms and presents results from testing their efficacy and capabilities. Furthermore, it introduces an implementation for analyzing MIDI datasets from a musical perspective. Ultimately the study highlights the potential for future enhancements and broader applications in the field of automatic music analysis and composition.

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