National Repository of Grey Literature 5 records found  Search took 0.00 seconds. 
Game Environment from Music
Vaněk, Jiří ; Fapšo, Michal (referee) ; Hradiš, Michal (advisor)
The topic of this work is game environment generation from music. The main subject of this work is the music analysis. I am dealing with the problem of finding relevant information in music, which would be useful for game generating. The design of the system for music analysis, presented in this work, is based on the theory of signal processing and statistical classification. The proposed analysis of music is focused mainly on a beat detection, musical genre recognition and song segmentation. The second part of the work deals with the design of a game, which generates its environment from the data obtained in the music analysis. I have implemented the complete system for the music analysis and a prototype of the game, in which it is possible to evaluate the results from the analysis. The implementation and the achieved results are described in the conclusion of this work.
Use of music therapy to adapt children to nursery schooling
Včeláková, Markéta ; Tichá, Alena (advisor) ; Kmentová, Milena (referee)
This diploma thesis is focused on music therapy and related activities that were used to adapt children to nursery school. The theoretical part describes children adaptation and music therapy in general - history, definitions, methods and effects on pre-school children. The practical part contains a methodical list of music therapy activities that were applied on two and three-year-old children. The conclusion of my thesis indicates that repeatedly using specific music therapy activities makes adaptation less problematic.
Game Environment from Music
Vaněk, Jiří ; Fapšo, Michal (referee) ; Hradiš, Michal (advisor)
The topic of this work is game environment generation from music. The main subject of this work is the music analysis. I am dealing with the problem of finding relevant information in music, which would be useful for game generating. The design of the system for music analysis, presented in this work, is based on the theory of signal processing and statistical classification. The proposed analysis of music is focused mainly on a beat detection, musical genre recognition and song segmentation. The second part of the work deals with the design of a game, which generates its environment from the data obtained in the music analysis. I have implemented the complete system for the music analysis and a prototype of the game, in which it is possible to evaluate the results from the analysis. The implementation and the achieved results are described in the conclusion of this work.

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